text model comparison
GPT-6.1 Sol vs Kimi K3.1 Pro
GPT-6.1 Sol and Kimi K3.1 Pro are both current text models, from OpenAI and Moonshot Kimi. Both cost $2 per 1M input tokens. On Arena WebDev, GPT-6.1 Sol scores 1751 Elo and Kimi K3.1 Pro 1695 Elo (Arena, measured October 28, 2026). Both accept about 1.05M tokens of context (1,050,000 and 1,048,576).
- Higher Arena WebDev
- GPT-6.1 Sol1751 Elo against 1695 Elo
- Longer context window
- GPT-6.1 Sol1.05M tokens against 1.05M tokens
- Newer release
- Kimi K3.1 ProOct 2026 against Sep 2026
Data verified November 5, 2026 · Dataset 2026-11-05
Side by side
GPT-6.1 Sol and Kimi K3.1 Pro, line by line
Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.
| Fact | GPT-6.1 Sol | Kimi K3.1 Pro |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $2 | $2 |
| Price per 1M output tokens | $10 | $10 |
| Independent benchmarks | ||
| Arena WebDev | 1751 Elo (#5 of 46) (better) | 1695 Elo (#7 of 46) |
| Arena Text | 1481 Elo (#17 of 52) | Not measured |
| GPQA Diamond | 95.4% (#4 of 41) | Not measured |
| FrontierMath Tiers 1-3 (v2) | 93.7% (#1 of 41) | Not measured |
| SimpleQA Verified | 73.9% (#3 of 38) | Not measured |
| Specs | ||
| Provider | OpenAI | Moonshot Kimi |
| Release date | September 29, 2026 | October 23, 2026 |
| Access | API only | API and open weights |
| Context window | 1,050,000 tokens | 1,048,576 tokens |
| Max output | 128,000 tokens | 1,048,576 tokens |
| Input | text, image | text, image, video |
| Output | text | text |
Provider results
What the labs report
Results tables a lab published with one of its models, where it lists both GPT-6.1 Sol and Kimi K3.1 Pro. These are the lab's own figures, not independent measurements, and each table is read on its own: labs run benchmarks with different harnesses and budgets.
Tencent, Hy4 launch table, November 4, 2026Tencent · 2026-11-05
| Benchmark | GPT-6.1 Sol | Kimi K3.1 Pro |
|---|---|---|
| DeepSWE v1.1 | 72.7% | 76.3% (better) |
| SWE-Marathon v1.1 | 39.4% | 53.8% (better) |
| ProgramBenchalmost solved | 46.0% (better) | 24.5% |
| Terminal-Bench 4.0 | 55.5% | 66.8% (better) |
| FrontierCode 2.0 | 40.6% (better) | 25.5% |
| APEX-Agents v1.1pass@1 | 61.7% | 68.2% (better) |
| Agents' Last Exam v1.1pass rate | 40.2% | 43.4% (better) |
| AutomationBench v1.0.6 | 51.4% | 65.6% (better) |
| HLE-Fullwith tools | 60.6% | 61.8% (better) |
| Terminal-Bench-Science 0.1 | 60.9% (better) | 41.7% |
| PostTrainBench v1.2 | 38.2% (better) | 36.2% |
| OSWorld 2.1full, partial score | 75.2% | 79.6% (better) |
| MMMU-Pro | 84.9% (better) | 83.4% |
| ZeroBench mainwith tools, pass@5 | 65.3% (better) | 56.9% |
Tencent's appendix to the Hy4 announcement, every model at its highest reasoning setting. Where Tencent lists a lab's reported score beside its own run, the score Tencent measured is shown. DeepSeek-V4.1-Flash is the 1017 build. Left out here: Tencent's internal benchmarks, the Hy4 preview column and GLM-5.3 on HLE, which Tencent ran on the text-only subset.
Charts
Against every current text model
Where GPT-6.1 Sol and Kimi K3.1 Pro land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
On Arena WebDev, GPT-6.1 Sol ranks #5 and Kimi K3.1 Pro #7 of 46 current models. Each bar is the share of current models it beats: on score, price and context.
Independent benchmarks
Arena Text
GPT-6.1 Sol:#17of 52
1,481 Elo · ahead of 67%
Kimi K3.1 Pro: Not scored
Arena WebDev
GPT-6.1 Sol:#5of 46
1,751 Elo · ahead of 91%
Kimi K3.1 Pro:#7of 46
1,695 Elo · ahead of 87%
GPQA Diamond
GPT-6.1 Sol:#4of 41
95.4% · ahead of 90%
Kimi K3.1 Pro: Not scored
FrontierMath Tiers 1-3 (v2)
GPT-6.1 Sol:#1of 41
93.7% · ahead of 98%
Kimi K3.1 Pro: Not scored
SimpleQA Verified
GPT-6.1 Sol:#3of 38
73.9% · ahead of 95%
Kimi K3.1 Pro: Not scored
Price and context
Price per 1M input tokens
GPT-6.1 Sol:#30of 55
$2 · cheaper than 24%
Kimi K3.1 Pro:#30of 55
$2 · cheaper than 24%
Price per 1M output tokens
GPT-6.1 Sol:#35of 55
$10 · cheaper than 26%
Kimi K3.1 Pro:#35of 55
$10 · cheaper than 26%
Context window
GPT-6.1 Sol:#1of 64
1.05M tokens · longer than 86%
Kimi K3.1 Pro:#11of 64
1.05M tokens · longer than 67%
Quality against price
GPT-6.1 Sol scores 1,481 at $4 (blended price per 1M tokens). The line joins the current models no other beats on both price and Arena Text score; hover any point to name it.
Quality against price: the data
| Model | Provider | Blended price per 1M tokens | Arena Text (Elo) |
|---|---|---|---|
| Gemini 4 Carbon | $4 | 1,528 | |
| Gemini 4 Argon | $4 | 1,520 | |
| Claude Opus 5.5 | Anthropic | $8 | 1,509 |
| Muse Wonder | Meta | $8 | 1,507 |
| Claude Fable 5 | Anthropic | $20 | 1,504 |
| Claude Fable 5.1 | Anthropic | $20 | 1,504 |
| Gemini 3.8 Flash | $1.50 | 1,496 | |
| Muse Spark 1.3 | Meta | $2 | 1,495 |
| Claude Opus 5 | Anthropic | $10 | 1,492 |
| Kimi K3 | Moonshot Kimi | $6 | 1,488 |
| GPT-5.6 Sol | OpenAI | $8 | 1,485 |
| Gemini 3.6 Flash | $3 | 1,483 | |
| GPT-5.5 | OpenAI | $11 | 1,482 |
| Claude Opus 4.8 | Anthropic | $10 | 1,482 |
| Qwen3.8-Max | Alibaba Qwen | $3 | 1,482 |
| GPT-6.1 Sol | OpenAI | $4 | 1,481 |
| GLM-5.3 | Z.ai | $2.15 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | $0.54 | 1,480 |
| Claude Sonnet 5.5 | Anthropic | $4 | 1,477 |
| GLM-5.3-Flash | Z.ai | $0.24 | 1,477 |
| GPT-6 Astra | OpenAI | $20 | 1,476 |
| DeepSeek-V4.1-Flash | DeepSeek | $0.52 | 1,476 |
| GPT-5.4 | OpenAI | $5.63 | 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 | 1,467 |
| Grok 4.5 | xAI | $3 | 1,465 |
| DeepSeek-V4-Pro | DeepSeek | $1.98 | 1,465 |
| Claude Sonnet 5 | Anthropic | $4 | 1,462 |
| GPT-6 Sol | OpenAI | $4 | 1,458 |
| Gemini 3.5 Flash-Lite | $0.85 | 1,456 | |
| Grok 4.6 | xAI | $3 | 1,455 |
| GPT-5.6 Luna | OpenAI | $0.45 | 1,453 |
| MiMo-V2.6-Flash | Xiaomi MiMo | $0.18 | 1,448 |
| Step 5 Preview | StepFun | $1.43 | 1,448 |
| Grok 4.3 | xAI | $1.56 | 1,442 |
| GPT-6 Luna | OpenAI | $0.20 | 1,441 |
| Grok 4.7 | xAI | $3 | 1,441 |
| Mistral Large 4 | Mistral AI | $1.05 | 1,432 |
| Claude Haiku 5.5 | Anthropic | $0.20 | 1,425 |
| GPT-4.1 | OpenAI | $3.50 | 1,415 |
| Solar Pro 4 | Upstage | $0.52 | 1,388 |
| GPT-4.1 mini | OpenAI | $0.70 | 1,383 |
| GPT-4.1 nano | OpenAI | $0.18 | 1,322 |
Cost
What each costs
Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.
The same work, priced
At each provider's listed rates.
10M input and 2M output tokens
The same price
- GPT-6.1 Sol
- $40
- Kimi K3.1 Pro
- $40
The same, with 9M of the input tokens cached
Kimi K3.1 Pro costs 1.0× as much
- GPT-6.1 Sol
- $22.90
- Kimi K3.1 Pro
- $23.80
| Workload or rate | GPT-6.1 Sol | Kimi K3.1 Pro |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $40 | $40 |
| The same, with 9M of the input tokens cached | $22.90 (better) | $23.80 |
| Other listed rates | ||
| 1M input tokens, cached | $0.10 (better) | $0.20 |
| 1M input tokens, 5-minute cache write | Not listed | $2 |
| 1M input tokens, 1-hour cache write | Not listed | $4 |
| 1M input tokens, Highspeed endpoint | Not listed | $4 |
| 1M output tokens, Highspeed endpoint | Not listed | $20 |
| 1M input tokens, prompts over 272K tokens | $4 | Not listed |
| 1M output tokens, prompts over 272K tokens | $15 | Not listed |
Your own bill will differ. These figures use list prices and example workloads. The AI Model Cost Audit reviews your real usage, shortlists models that score as well for each task for less, and estimates the savings.
Launch price $100, regular price $150
Verdict
When to choose each
GPT-6.1 Sol
Where it leads
- Higher Arena WebDev score, 1751 Elo vs 1695 Elo
- Cheaper cached input, $0.10 vs $0.20 per 1M tokens
Best for
- Agent loops that replay a large cached prefix
- A drop-in alternative to GPT-6 Sol at the same base cost
Watch out for
- The same 272,000-token long-context cliff applies, rebilling the full request at $4 input and $15 output
- Released a week after GPT-6 Sol at identical base pricing, so the two are easy to confuse on a rate card; the cached rate is the difference
Kimi K3.1 Pro
Where it leads
- Longer responses, up to 1,048,576 vs 128,000 output tokens
- Accepts video input
- Open weights you can run yourself
Best for
- Long-horizon coding and agent work at mid-tier prices
- Long documents, images and video in one 1M-token context
Watch out for
- Thinking is always on: reasoning effort runs low, high or max, and max is the default
- The Highspeed endpoint, two to three times faster by Moonshot's account, costs twice as much at $4 input and $20 output per 1M tokens
- The weights carry Moonshot's own license: a model-as-a-service business above $20M in yearly revenue needs a separate agreement, and products above 100M monthly users or $20M monthly revenue must display the Kimi K3.1 Pro name
- Self-hosting takes a multi-node GPU cluster: the MXFP4 weights alone are about 1.56 TB
- Epoch AI and Arena Text have not scored it yet
From benchmark to production
Building on GPT-6.1 Sol or Kimi K3.1 Pro?
Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.
AI Model Cost AuditLaunch price $100, regular price $150What the audit includes
FAQ
GPT-6.1 Sol vs Kimi K3.1 Pro FAQ
Which is cheaper, GPT-6.1 Sol or Kimi K3.1 Pro?
Both cost $2 per 1M input tokens. For 10M input and 2M output tokens, GPT-6.1 Sol costs $40 and Kimi K3.1 Pro $40 at standard rates.
Which is cheaper with prompt caching, GPT-6.1 Sol or Kimi K3.1 Pro?
GPT-6.1 Sol charges $0.10 per 1M cached input tokens, 95% below its standard input rate, and Kimi K3.1 Pro $0.20, 90% below. With 9M of 10M input tokens cached and 2M output tokens, GPT-6.1 Sol costs $22.90 and Kimi K3.1 Pro $23.80.
Which scores higher on independent benchmarks, GPT-6.1 Sol or Kimi K3.1 Pro?
GPT-6.1 Sol leads on Arena WebDev, 1751 Elo to 1695 Elo. Scores are independent evaluations, not either vendor's launch figures.
How do GPT-6.1 Sol and Kimi K3.1 Pro compare in Tencent's own results?
In Hy4 launch table (November 4, 2026), Kimi K3.1 Pro leads on DeepSWE v1.1, 76.3% to 72.7%; Kimi K3.1 Pro leads on SWE-Marathon v1.1, 53.8% to 39.4%; GPT-6.1 Sol leads on ProgramBench (almost solved), 46.0% to 24.5%. These are Tencent's figures, not independent measurements.
Which has the larger context window, GPT-6.1 Sol or Kimi K3.1 Pro?
Both accept about 1.05M tokens of context (1,050,000 and 1,048,576). Kimi K3.1 Pro returns up to 1,048,576 tokens per response, GPT-6.1 Sol 128,000.
How do GPT-6.1 Sol and Kimi K3.1 Pro differ in features?
GPT-6.1 Sol takes text and image input; Kimi K3.1 Pro takes text, image and video.
Can I run GPT-6.1 Sol or Kimi K3.1 Pro myself?
Kimi K3.1 Pro is released as open weights you can run yourself; GPT-6.1 Sol is available through its provider's API only.
Further reading
More on GPT-6.1 Sol and Kimi K3.1 Pro
Articles on GPT-6.1 Sol and Kimi K3.1 Pro
- Kimi K3.1 Pro: Benchmarks, Price and Should You Switch?October 25, 2026
- OpenAI Models on Google Cloud: What Changes for AI TeamsOctober 22, 2026
Related comparisons
- Claude Haiku 5.5 vs GPT-6.1 Sol
- Claude Fable 5.1 vs Kimi K3.1 Pro
- Gemini 4 Argon vs GPT-6.1 Sol
- Claude Opus 5.5 vs Kimi K3.1 Pro
- Claude Opus 5.5 vs GPT-6.1 Sol
- Claude Sonnet 5.5 vs Kimi K3.1 Pro
- Claude Sonnet 5.5 vs GPT-6.1 Sol
- Claude Sonnet 5 vs Kimi K3.1 Pro
- Claude Sonnet 5 vs GPT-6.1 Sol
- DeepSeek-V4.1-Flash vs Kimi K3.1 Pro
- Gemini 3.1 Pro Preview vs GPT-6.1 Sol
- Gemini 4 Argon vs Kimi K3.1 Pro
Production evaluation
Choosing between GPT-6.1 Sol and Kimi K3.1 Pro?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty