Keep task families separate
Scores and operational metrics should not be compared across task families. Text reasoning, image quality, video quality, and speech error metrics answer different questions.
Data verified October 29, 2026
The newest AI models ranked on independent benchmarks, price and context window. Model records include linked official sources, and each score names the leaderboard it comes from.
Leaderboard
Newest release first. Narrow it to this week or this month, rank it by any benchmark, price or context window, or keep one provider. Scores come only from independent leaderboards; # is the model's rank among current models on that benchmark.
67 language models
| # | Model | Released | ArenaElo | Priceper 1M input tokens | Priceper 1M output tokens | Context |
|---|---|---|---|---|---|---|
| 1 | OpenAI · Oct 26, 2026 | Oct 26, 20263 days ago | Not measured | $1 | $5 | 1.05M |
| 2 | Moonshot Kimi · Oct 23, 2026 | Oct 23, 20266 days ago | Not measured | $2 | $10 | 1.05M |
| 3 | Mercury 3New Inception · Oct 19, 2026 | Oct 19, 202610 days ago | Not measured | $0.20 | $0.70 | 1M |
| 4 | MiniMax · open weights · Oct 19, 2026 | Oct 19, 202610 days ago | Not measured | $0.15 | $0.60 | 1M |
| 5 | Beam 1.0New Reflection AI · open weights · Oct 16, 2026 | Oct 16, 202613 days ago | Not measured | Not listed | Not listed | 1M |
| 6 | GlimpseNew Elorian · Oct 16, 2026 | Oct 16, 202613 days ago | Not measured | $0.60 | $3 | Not reported |
| 7 | Meta · open weights · Oct 15, 2026 | Oct 15, 20262 weeks ago | Not measured | Not listed | Not listed | 1M |
| 8 | NVIDIA · open weights · Oct 15, 2026 | Oct 15, 20262 weeks ago | Not measured | Not listed | Not listed | 262K |
| 9 | NVIDIA · open weights · Oct 15, 2026 | Oct 15, 20262 weeks ago | Not measured | Not listed | Not listed | 1M |
| 10 | Muse WonderNew Meta · Oct 12, 2026 | Oct 12, 20262 weeks ago | Not measured | $4 | $20 | 1.05M |
Charts
Three views of the current language models on Arena Text, the independent benchmark that covers the most of them. Hover any point to name it.
5 current models sit on the price and quality frontier: none is beaten on both. The cheapest is MiMo-V2.6-Flash at $0.18 per 1M tokens blended, the strongest Gemini 4 Argon at 1,525.
| Model | Provider | Blended price per 1M tokens | Arena Text (Elo) |
|---|---|---|---|
| Gemini 4 Argon | $4 | 1,525 | |
| Claude Opus 5.5 | Anthropic | $8 | 1,507 |
| Claude Fable 5 | Anthropic | $20 | 1,504 |
| Claude Fable 5.1 | Anthropic | $20 | 1,501 |
| Gemini 3.8 Flash | $1.50 | 1,497 | |
| Muse Spark 1.3 | Meta | $2 | 1,494 |
| Claude Opus 5 | Anthropic | $10 | 1,490 |
| Kimi K3 | Moonshot Kimi | $6 | 1,488 |
| GPT-5.6 Sol | OpenAI | $8 | 1,485 |
| GPT-6.1 Sol | OpenAI | $4 | 1,484 |
| Qwen3.8-Max | Alibaba Qwen | $3 | 1,483 |
| GPT-5.5 | OpenAI | $11 | 1,482 |
| Gemini 3.6 Flash | $3 | 1,482 | |
| Claude Opus 4.8 | Anthropic | $10 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | $0.54 | 1,480 |
| GLM-5.3 | Z.ai | $2.15 | 1,478 |
| Claude Sonnet 5.5 | Anthropic | $4 | 1,476 |
| GPT-5.4 | OpenAI | $5.63 | 1,475 |
| GPT-6 Astra | OpenAI | $20 | 1,475 |
| DeepSeek-V4.1-Flash | DeepSeek | $0.52 | 1,475 |
| GLM-5.3-Flash | Z.ai | $0.24 | 1,475 |
| Gemini 3 Flash Preview | $1.13 | 1,473 | |
| Grok 4.20 | xAI | $1.56 | 1,472 |
| GPT-5.6 Terra | OpenAI | $4.50 | 1,466 |
| Grok 4.5 | xAI | $3 | 1,466 |
| DeepSeek-V4-Pro | DeepSeek | $1.98 | 1,465 |
| Claude Sonnet 5 | Anthropic | $4 | 1,461 |
| GPT-6 Sol | OpenAI | $4 | 1,456 |
| Gemini 3.5 Flash-Lite | $0.85 | 1,455 | |
| Grok 4.6 | xAI | $3 | 1,454 |
| GPT-5.6 Luna | OpenAI | $0.45 | 1,452 |
| MiMo-V2.6-Flash | Xiaomi MiMo | $0.18 | 1,451 |
| GPT-6 Luna | OpenAI | $0.20 | 1,443 |
| Grok 4.7 | xAI | $3 | 1,443 |
| Grok 4.3 | xAI | $1.56 | 1,442 |
| Mistral Large 4 | Mistral AI | $2.06 | 1,429 |
| GPT-4.1 | OpenAI | $3.50 | 1,415 |
| Solar Pro 4 | Upstage | $0.52 | 1,386 |
| GPT-4.1 mini | OpenAI | $0.70 | 1,383 |
| GPT-4.1 nano | OpenAI | $0.18 | 1,322 |
The best Arena Text score has risen from 1,324 to 1,525. Gemini 4 Argon set the current record, released Sep 30, 2026.
| Model | Provider | Released | Arena Text (Elo) |
|---|---|---|---|
| Gemini 4 Argon | Sep 30, 2026 | 1,525 | |
| Claude Opus 5.5 | Anthropic | Sep 22, 2026 | 1,507 |
| Claude Fable 5 | Anthropic | Jun 9, 2026 | 1,504 |
| Claude Fable 5.1 | Anthropic | Sep 1, 2026 | 1,501 |
| Gemini 3.8 Flash | Sep 2, 2026 | 1,497 | |
| Muse Spark 1.3 | Meta | Sep 2, 2026 | 1,494 |
| Claude Opus 5 | Anthropic | Jul 24, 2026 | 1,490 |
| Kimi K3 | Moonshot Kimi | Jul 16, 2026 | 1,488 |
| Gemini 3.1 Pro Preview | Feb 19, 2026 | 1,487 | |
| Gemini 3.7 Flash | Aug 13, 2026 | 1,486 | |
| GPT-5.6 Sol | OpenAI | Jul 9, 2026 | 1,485 |
| GPT-6.1 Sol | OpenAI | Sep 29, 2026 | 1,484 |
| Qwen3.8-Max | Alibaba Qwen | Aug 2, 2026 | 1,483 |
| GPT-5.5 | OpenAI | Apr 23, 2026 | 1,482 |
| Gemini 3.6 Flash | Jul 21, 2026 | 1,482 | |
| Claude Opus 4.8 | Anthropic | May 28, 2026 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | Sep 22, 2026 | 1,480 |
| Gemini 3.5 Flash | May 19, 2026 | 1,478 | |
| GLM-5.3 | Z.ai | Aug 18, 2026 | 1,478 |
| Claude Sonnet 5.5 | Anthropic | Sep 28, 2026 | 1,476 |
| GPT-5.4 | OpenAI | Mar 5, 2026 | 1,475 |
| GLM-5.3-Flash | Z.ai | Aug 26, 2026 | 1,475 |
| GPT-6 Astra | OpenAI | Sep 3, 2026 | 1,475 |
| DeepSeek-V4.1-Flash | DeepSeek | Sep 10, 2026 | 1,475 |
| Gemini 3 Flash Preview | Dec 17, 2025 | 1,473 | |
| Grok 4.20 | xAI | Mar 10, 2026 | 1,472 |
| GPT-5.6 Terra | OpenAI | Jul 9, 2026 | 1,466 |
| Grok 4.5 | xAI | Jul 16, 2026 | 1,466 |
| DeepSeek-V4-Pro | DeepSeek | Aug 13, 2026 | 1,465 |
| Claude Sonnet 5 | Anthropic | Jun 30, 2026 | 1,461 |
| GPT-6 Sol | OpenAI | Sep 22, 2026 | 1,456 |
| Gemini 3.5 Flash-Lite | Jul 21, 2026 | 1,455 | |
| Grok 4.6 | xAI | Aug 12, 2026 | 1,454 |
| GPT-5.6 Luna | OpenAI | Jul 9, 2026 | 1,452 |
| MiMo-V2.6-Flash | Xiaomi MiMo | Sep 22, 2026 | 1,451 |
| Gemini 2.5 Pro | Mar 25, 2025 | 1,445 | |
| Grok 4.7 | xAI | Sep 21, 2026 | 1,443 |
| GPT-6 Luna | OpenAI | Sep 22, 2026 | 1,443 |
| Mistral Large 4 | Mistral AI | Oct 6, 2026 | 1,429 |
| Muse Glimmer | Meta | Aug 10, 2026 | 1,425 |
| Kimi K2 Instruct | Moonshot Kimi | Jul 11, 2025 | 1,418 |
| GPT-4.1 | OpenAI | Apr 14, 2025 | 1,415 |
| Grok 3 | xAI | Feb 19, 2025 | 1,411 |
| DeepSeek-R1 | DeepSeek | Jan 20, 2025 | 1,398 |
| Claude 3.7 Sonnet | Anthropic | Feb 24, 2025 | 1,388 |
| Solar Pro 4 | Upstage | Aug 6, 2026 | 1,386 |
| GPT-4.1 mini | OpenAI | Apr 14, 2025 | 1,383 |
| Gemini 2.0 Flash | Dec 11, 2024 | 1,360 | |
| DeepSeek-V3 | DeepSeek | Dec 26, 2024 | 1,358 |
| Nemotron 3.5 Lightning | NVIDIA | Aug 11, 2026 | 1,349 |
| GPT-4o | OpenAI | May 13, 2024 | 1,346 |
| Granite 4.2 30B | IBM | Aug 25, 2026 | 1,340 |
| Grok 2 | xAI | Aug 13, 2024 | 1,336 |
| Llama 3.1 405B | Meta | Jul 23, 2024 | 1,335 |
| Gemini 1.5 Pro | Feb 15, 2024 | 1,324 | |
| Claude 3 Opus | Anthropic | Mar 4, 2024 | 1,322 |
| GPT-4.1 nano | OpenAI | Apr 14, 2025 | 1,322 |
| Mistral Large 2 | Mistral AI | Jul 24, 2024 | 1,314 |
| Gemini 1.5 Flash | May 14, 2024 | 1,287 | |
| Claude 3 Sonnet | Anthropic | Mar 4, 2024 | 1,281 |
| Llama 3 70B | Meta | Apr 18, 2024 | 1,277 |
| DeepSeek-Coder-V2 Instruct | DeepSeek | Jun 17, 2024 | 1,265 |
| Claude 3 Haiku | Anthropic | Mar 13, 2024 | 1,262 |
| Qwen2 72B Instruct | Alibaba Qwen | Jun 7, 2024 | 1,262 |
| Ministral 8B | Mistral AI | Oct 16, 2024 | 1,238 |
| Llama 3 8B | Meta | Apr 18, 2024 | 1,224 |
14 providers have a current model scored on Arena Text. Google leads with Gemini 4 Argon.
Anthropic
Claude Opus 5.5Meta
Muse Spark 1.3Moonshot Kimi
Kimi K3OpenAI
GPT-5.6 SolAlibaba Qwen
Qwen3.8-MaxXiaomi MiMo
MiMo-V2.6-ProZ.ai
GLM-5.3DeepSeek
DeepSeek-V4.1-FlashxAI
Grok 4.20Mistral AI
Mistral Large 4NewUpstage
Solar Pro 4NVIDIA
Nemotron 3.5 LightningElo rating; the axis starts at 1,300, since a rating has no zero.
Explore
Choose a task, filter its models by provider, capability or status, and select up to four to compare side by side. Missing values stay visible as Not reported.
Model pages
Pricing, specs, independent scores, alternatives and sources for all 146 models, grouped by provider.
Methods and provenance
Open only the methodology, production guidance, release history, sources, or answers you need. Each stays in the page HTML while closed, and every source record is in the source catalog.
Use the catalog to screen candidates, then verify them on your workload. Linked official sources support each record as a whole; they are not a field-by-field audit trail. Benchmark results retain their publisher and compatible snapshot.
Scores and operational metrics should not be compared across task families. Text reasoning, image quality, video quality, and speech error metrics answer different questions.
Compare results only when the task family, benchmark version, measurement date, and eligible model set match. Different snapshots may use different prompts, evaluators, or datasets.
Higher-is-better metrics reward a larger result; lower-is-better metrics such as error rate reward a smaller result. The direction belongs to the named benchmark, not to every task.
A price per million tokens, image, audio minute, video second, or realtime minute is a different cost basis. Compare only the same unit and tier, then add retries, review, tooling, and infrastructure.
Current models are active provider offerings; Legacy models remain for historical context, and one its provider deprecated shows the date and its replacement. Official records come from providers, while independent results come from benchmark publishers, each with a visible verification date.
Not reported is not zero. The explorer excludes missing values from rankings and does not infer them from a related model.
Scope begins 2024-01-01. Dataset version 2026-10-29. Last verified 2026-10-29. 223 source records.
Benchmark rank and production fit measure different things. A result can support a shortlist without deciding the system design.
Generated from exact explorer release dates. Models without a verified exact date remain in the inventory and are omitted here rather than assigned an inferred date.
Official sources come from model providers. Independent sources come from a separate benchmark publisher. The source catalog lists all 223 records, each with its publisher, verification date, version, license status, coverage and note; missing metadata is not filled or inferred.
Every benchmark score comes from one of these 20 records.
Covers benchmark · Verified 2026-10-12 · Version lmarena-ai/leaderboard-dataset@e16f9023298691b4596eca61b4e31161dff31200 · License CC-BY-4.0
Ratings from blind pairwise human votes, published by Arena (formerly LMArena) in its public leaderboard dataset and pinned here to one commit. The overall category of the latest split is used; for text, the style-controlled leaderboard, which is the default view on arena.ai. A model maps only when its Arena row names the same model; where Arena lists several quality or resolution settings of one model, the best rated row is used and recorded in sourceRow. Ratings are rounded to whole points. Credit: Arena, lmarena-ai/leaderboard-dataset on Hugging Face, CC BY 4.0.
Covers benchmark · Verified 2026-10-12 · Not versioned · License CC-BY-4.0
People compare two anonymous images generated from the same prompt and vote for the better one. Arena fits a Bradley-Terry model to the votes and reports ratings on an Elo-like scale.
Covers benchmark · Verified 2026-10-12 · Not versioned · License CC-BY-4.0
People compare two anonymous edits of the same image from the same instruction and vote for the better one. Arena fits a Bradley-Terry model to the votes and reports ratings on an Elo-like scale.
Covers benchmark · Verified 2026-10-12 · Not versioned · License CC-BY-4.0
People compare two anonymous videos generated from the same prompt and vote for the better one. Arena fits a Bradley-Terry model to the votes and reports ratings on an Elo-like scale.
Covers benchmark · Verified 2026-10-12 · Not versioned · License CC-BY-4.0
People compare two anonymous videos animated from the same image and prompt and vote for the better one. Arena fits a Bradley-Terry model to the votes and reports ratings on an Elo-like scale.
Covers benchmark · Verified 2026-10-12 · Not versioned · License CC-BY-4.0
People put the same prompt to two anonymous models and vote for the better answer. Arena fits a Bradley-Terry model to the votes; the rating used here is the style-controlled one, which is the default view on arena.ai.
Covers benchmark · Verified 2026-10-13 · Version Provider voice leaderboard, read 2026-10-13 · License Artificial Analysis Terms of Use
Listeners compare two anonymous clips of the same text and vote for the more natural one; Artificial Analysis fits Elo ratings to the votes, using each provider's own voices. Cited with a link as Artificial Analysis asks; its terms reserve redistribution, so these scores are shown on the page and left out of the dataset download.
Covers benchmark · Verified 2026-10-13 · Version AA-WER v2, read 2026-10-13 · License Artificial Analysis Terms of Use
Artificial Analysis transcribes the same held-out audio through each provider API and reports the weighted word error rate. Cited with a link as Artificial Analysis asks; its terms reserve redistribution, so these scores are shown on the page and left out of the dataset download.
Covers benchmark · Verified 2026-10-13 · Version AA-WER Streaming, read 2026-10-13 · License Artificial Analysis Terms of Use
Artificial Analysis streams the same held-out audio through each provider realtime API and reports the word error rate of the final transcript. Cited with a link as Artificial Analysis asks; its terms reserve redistribution, so these scores are shown on the page and left out of the dataset download.
Covers benchmark · Verified 2026-10-13 · Version AA-Video-T2V v2.0, read 2026-10-13 · License Artificial Analysis Terms of Use
People compare two anonymous videos generated from the same prompt and vote for the better one; Artificial Analysis fits Elo ratings to the votes. Cited with a link as Artificial Analysis asks; its terms reserve redistribution, so these scores are shown on the page and left out of the dataset download.
Covers benchmark · Verified 2026-10-13 · Version AA-Video-I2V v1.0, read 2026-10-13 · License Artificial Analysis Terms of Use
People compare two anonymous videos animated from the same image and prompt and vote for the better one; Artificial Analysis fits Elo ratings to the votes. Cited with a link as Artificial Analysis asks; its terms reserve redistribution, so these scores are shown on the page and left out of the dataset download.
Covers benchmark · Verified 2026-10-12 · Version benchmark_data.zip retrieved 2026-10-12, sha256 prefix 2fb16ca26aea846c · License CC-BY-4.0
Results Epoch AI ran itself (the GPQA Diamond, FrontierMath Tiers 1-3 v2 and SimpleQA Verified files), not the external files it collects from other publishers. A model maps only when its Epoch row is unambiguous: exact name, or a dated version pinned by the record release date. Where Epoch lists several reasoning-effort settings, the best published configuration is used and its row is recorded in sourceRow. Scores are converted from 0-1 to 0-100 and rounded to one decimal. Epoch evaluated rows between 2023 and 2026-10-09; every result is dated to this capture. Credit: Epoch AI, Capabilities and benchmarking, epoch.ai, CC BY 4.0.
Covers benchmark · Verified 2026-10-12 · Not versioned · License CC-BY-4.0
198 four-option graduate-level questions in biology, physics and chemistry, written by domain experts; random guessing scores 25%. Epoch runs the evaluation itself.
Covers benchmark · Verified 2026-10-12 · Not versioned · License CC-BY-4.0
Original research-level mathematics problems written and vetted by expert mathematicians. Tiers 1-3 v2 (released 2026-06-12) is the 295-problem base set after a revision that corrected errors in 42% of problems. Scores come from Epoch-run private sets. OpenAI funded the benchmark and has access to part of it.
Covers benchmark · Verified 2026-10-12 · Not versioned · License CC-BY-4.0
A 1,000-question factoid benchmark from Google, building on SimpleQA from OpenAI. Epoch runs it itself and reports the proportion answered correctly, not the F1-based score Google reports.
Covers benchmark · Verified 2026-08-07 · Version LiveBench-2026-06-25@19e766a5de4de07d672ed5bf9f0a69ceed1d39bf · License Apache-2.0
Pinned implementation averages task scores within each of the seven categories, then averages the category scores; the paired categories_2026_06_25.json file defines category membership.
Covers benchmark · Verified 2026-08-07 · Version LiveBench-2026-06-25@19e766a5de4de07d672ed5bf9f0a69ceed1d39bf · License Apache-2.0
Snapshot and measurement date: 2026-06-25. Overall scores are imported only for unambiguous model mappings and are recomputed with the pinned category-weighted averaging implementation.
Covers benchmark · Verified 2026-08-06 · Version LiveBench-2024-11-25 · License Apache-2.0
Primary benchmark documentation confirms objective scoring, public distribution, and Apache 2.0 reuse terms.
Covers benchmark · Verified 2026-08-06 · Version LiveBench-2024-11-25@347e3d0b6a4916cd66f8bda31ce7ecdd7436ecc3 · License Apache-2.0
Snapshot and measurement date: 2024-11-25. Exact published snapshot; only direct Web of Lies V2 percentages with unambiguous model mappings are imported.
Covers identity, pricing · Verified 2026-09-09 · Not versioned · License not stated
Third-party API catalogue used only to cross-check published token prices, context limits, and listing dates against first-party documentation.
203 records from 30 publishers, each listed with every field in the source catalog:
A benchmark score reports performance on one defined evaluation. Compare scores only when the task family, benchmark version, measurement date, scoring method, and eligible model set match; the result is a screening signal, not a prediction for every workload.
Each source shows a verification date, and the page shows the dataset version and last verified date. A verification date confirms when Van Data Team checked the linked record; it does not promise that a provider page has stayed unchanged since then.
Not reported means the catalog does not have a compatible, directly sourced value for that exact model record. Missing values remain empty rather than being estimated, copied from a related model, or treated as zero.
Compare only the same pricing unit and tier, such as a million tokens, image, audio minute, video second, character, or realtime minute. Prices are provider list prices checked on the source verification date, not live quotes; retries, review, tooling, and infrastructure also affect production cost.
No. Open weights means the model parameters are available for deployment under the provider license. This can provide infrastructure control, but compute, serving, monitoring, security, and engineering still carry costs.
Start with the use case, select a small evidence-backed shortlist, and test it on representative work. Set acceptance thresholds for quality, latency, cost, reliability, safety, and human review before comparing results.
Only from independent publishers: Epoch AI (GPQA Diamond, FrontierMath and SimpleQA Verified), LiveBench, the Arena leaderboards for text, images and video, and Artificial Analysis for speech and video. Vendor launch numbers are never mixed in. Where a model was tested at several reasoning-effort settings, the best published setting is shown with its exact leaderboard row. The dataset is updated when a review verifies a material model, price or benchmark change, and the last verified date records it.
Van Data Team can turn a shortlist into a production evaluation with representative cases, measurable acceptance rules, model routing, workflow controls, observability, and cost tracking tailored to your system.
Production evaluation
We design representative evaluations and the workflow controls needed to operate the selected model with clear quality, cost, and review boundaries.