text model comparison
GPT-4.1 vs Kimi K3.1 Pro
GPT-4.1 and Kimi K3.1 Pro are both current text models, from OpenAI and Moonshot Kimi. Both cost $2 per 1M input tokens. Both accept about 1.05M tokens of context (1,048,576 and 1,047,576).
- Longer context window
- Kimi K3.1 Pro1.05M tokens against 1.05M tokens
- Newer release
- Kimi K3.1 ProOct 2026 against Apr 2025
Data verified October 28, 2026 · Dataset 2026-10-28
Side by side
GPT-4.1 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-4.1 | Kimi K3.1 Pro |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $2 | $2 |
| Price per 1M output tokens | $8 (better) | $10 |
| Independent benchmarks | ||
| Arena Text | 1415 Elo (#43 of 49) | Not measured |
| GPQA Diamond | 66.9% (#38 of 40) | Not measured |
| FrontierMath Tiers 1-3 (v2) | 6% (#40 of 40) | Not measured |
| SimpleQA Verified | 31.1% (#31 of 36) | Not measured |
| Specs | ||
| Provider | OpenAI | Moonshot Kimi |
| Release date | April 14, 2025 | October 23, 2026 |
| Access | API only | API only |
| Context window | 1,047,576 tokens | 1,048,576 tokens |
| Max output | 32,768 tokens | Not reported |
| Input | text, image | text, image, video |
| Output | text | text |
No independent benchmark has scored both models yet. Each rank counts the current models scored on that benchmark.
Charts
Against every current text model
Where GPT-4.1 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
Only GPT-4.1 has a current Arena Text score: #43 of 49. Each bar is the share of current models it beats.
Independent benchmarks
Arena Text
GPT-4.1:#43of 49
1,415 Elo · ahead of 13%
Kimi K3.1 Pro: Not scored
GPQA Diamond
GPT-4.1:#38of 40
66.9% · ahead of 5%
Kimi K3.1 Pro: Not scored
FrontierMath Tiers 1-3 (v2)
GPT-4.1:#40of 40
6% · ahead of 0%
Kimi K3.1 Pro: Not scored
SimpleQA Verified
GPT-4.1:#31of 36
31.1% · ahead of 14%
Kimi K3.1 Pro: Not scored
Price and context
Price per 1M input tokens
GPT-4.1:#28of 51
$2 · cheaper than 24%
Kimi K3.1 Pro:#28of 51
$2 · cheaper than 24%
Price per 1M output tokens
GPT-4.1:#32of 51
$8 · cheaper than 38%
Kimi K3.1 Pro:#33of 51
$10 · cheaper than 26%
Context window
GPT-4.1:#25of 66
1.05M tokens · longer than 60%
Kimi K3.1 Pro:#11of 66
1.05M tokens · longer than 65%
Quality against price
GPT-4.1 scores 1,415 at $3.50 (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 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 |
| Gemini 3.7 Flash | $1.50 | 1,486 | |
| 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 |
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
For 10M input and 2M output tokens, Kimi K3.1 Pro costs 1.1 times as much as GPT-4.1, at each provider's listed rates.
10M input and 2M output tokens
Kimi K3.1 Pro costs 1.1× as much
- GPT-4.1
- $36
- Kimi K3.1 Pro
- $40
The same, with 9M of the input tokens cached
Kimi K3.1 Pro costs 1.1× as much
- GPT-4.1
- $22.50
- Kimi K3.1 Pro
- $23.80
| Workload or rate | GPT-4.1 | Kimi K3.1 Pro |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $36 (better) | $40 |
| The same, with 9M of the input tokens cached | $22.50 (better) | $23.80 |
| Other listed rates | ||
| 1M input tokens, cached | $0.50 | $0.20 (better) |
| 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 |
Verdict
When to choose each
GPT-4.1
Where it leads
- Lower price per 1M output tokens, $8 vs $10
Best for
- Long-context API trials using text and image inputs
Watch out for
- Not in the pinned LiveBench snapshot; its independent scores here come from Epoch AI's own GPQA Diamond, FrontierMath and SimpleQA Verified runs
Kimi K3.1 Pro
Where it leads
- Accepts video input
- Cheaper cached input, $0.20 vs $0.50 per 1M tokens
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
- Weights are promised by 4 November 2026 and were not out when this record was made; no independent benchmark score is recorded here yet
From benchmark to production
Building on GPT-4.1 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.
FAQ
GPT-4.1 vs Kimi K3.1 Pro FAQ
Which is cheaper, GPT-4.1 or Kimi K3.1 Pro?
Both cost $2 per 1M input tokens. For 10M input and 2M output tokens, GPT-4.1 costs $36 and Kimi K3.1 Pro $40 at standard rates.
Which is cheaper with prompt caching, GPT-4.1 or Kimi K3.1 Pro?
GPT-4.1 charges $0.50 per 1M cached input tokens, 75% 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-4.1 costs $22.50 and Kimi K3.1 Pro $23.80.
Which has the larger context window, GPT-4.1 or Kimi K3.1 Pro?
Both accept about 1.05M tokens of context (1,048,576 and 1,047,576).
How do GPT-4.1 and Kimi K3.1 Pro differ in features?
GPT-4.1 takes text and image input; Kimi K3.1 Pro takes text, image and video.
Further reading
More on GPT-4.1 and Kimi K3.1 Pro
Articles on GPT-4.1 and Kimi K3.1 Pro
- Kimi K3.1 Pro: Benchmarks, Price and Should You Switch?October 25, 2026
Related comparisons
- GPT-4.1 vs GPT-6.1 Sol
- Claude Sonnet 5.5 vs Kimi K3.1 Pro
- Claude Sonnet 5.5 vs GPT-4.1
- Claude Sonnet 5 vs Kimi K3.1 Pro
- GPT-4.1 vs GPT-6 Luna
- Gemini 4 Argon vs Kimi K3.1 Pro
- GPT-4.1 vs GPT-6 Sol
- Kimi K3 vs Kimi K3.1 Pro
- GPT-4.1 vs Grok 4.6
- GPT-4.1 vs GPT-5.6 Terra
- Claude Sonnet 5 vs GPT-4.1
- GPT-4.1 vs GPT-4.1 mini
Production evaluation
Choosing between GPT-4.1 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
