GPT-6.1 Sol vs Kimi K3.1 Pro
Full profiles: GPT-6.1 Sol (OpenAI) and Kimi K3.1 Pro (Moonshot AI): every benchmark, price and rank.
Updated · Data from 9 sources
As of 24 Oct 2026, GPT-6.1 Sol (max) and Kimi K3.1 Pro are neck and neck on quality (69.9 vs 66.8, inside the ±7.0 margin of error) and cost about the same, so speed decides it: Kimi K3.1 Pro streams 1.5× faster. Pick GPT-6.1 Sol for knowledge (78 vs 75); pick Kimi K3.1 Pro for reasoning (81 vs 76).
GPT-6.1 Sol benchmarks 
Kimi K3.1 Pro benchmarks Which to pick for…
The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.
| Use case | Pick | Why | Confidence |
|---|---|---|---|
| Agents & tool use | Kimi K3.1 Pro | 67 vs 65 category score; GDPval-AA v2.1 67.3% vs 54.8% | Medium |
| Reasoning | Kimi K3.1 Pro | 81 vs 76 category score; CritPt 24.6% vs 31.7% | Medium |
| Knowledge | GPT-6.1 Sol | 78 vs 75 category score; AA-Omniscience 41.5 vs 29.5 | Medium |
| Long documents | Kimi K3.1 Pro | 68 vs 67 category score; AA-LCR 86.3% vs 83.0% | Medium |
| Images and other media | Either | 66 vs 67 category score; MMMU-Pro 86.0% vs 83.9% | Either |
| Chat quality (human preference) | – | Only GPT-6.1 Sol has an Arena rating (67 category score) | Not comparable |
| Lowest cost | Either | $4.00 vs $4.00 per 1M blended; agentic coding session $0.160 vs $0.160 | – |
| Fastest first answer | Kimi K3.1 Pro | 27.7 s (Kimi K3.1 Pro) vs 236.0 s (GPT-6.1 Sol (max)) to the first answer token | – |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- GPT-6.1 Sol (max) and Kimi K3.1 Pro are neck and neck on quality (69.9 vs 66.8, within the ±7.0 margin).
- GPT-6.1 Sol (max) is stronger in coding, composite, human preference, knowledge, maths.
- Kimi K3.1 Pro is stronger in agents & tools, long context, multimodal, reasoning.
- They cost about the same ($4.00 per 1M blended).
- Kimi K3.1 Pro streams 1.5× faster (81 vs 55 tokens per second).
At a glance
| Spec | GPT-6.1 Sol | Kimi K3.1 Pro |
|---|---|---|
| Developer | OpenAI | Moonshot AI |
| Released | 29 Sept 2026 | 23 Oct 2026 |
| Context window (tokens) | 1,050,000 | 1,048,576 |
| Compared at | GPT-6.1 Sol (max) | Kimi K3.1 Pro |
| Open weights | No | No |
| Price in / out / cached input per 1M | $2.00 / $10.00 / $0.100 | $2.00 / $10.00 / $0.200 |
Category by category
Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.
| Category | GPT-6.1 Sol (max) | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| Reasoning | 76.0 | 81.3 | Kimi K3.1 Pro |
| Coding | 72.0 | – | not comparable |
| Agents & tools | 64.6 | 67.3 | Kimi K3.1 Pro |
| Maths | 73.0 | – | not comparable |
| Knowledge | 78.4 | 74.8 | GPT-6.1 Sol |
| Human preference | 67.2 | – | not comparable |
| Multimodal | 66.1 | 67.0 | level |
| Long context | 66.6 | 68.3 | Kimi K3.1 Pro |
| Composite | 87.5 | 75.8 | GPT-6.1 Sol |
Where sources disagree
Across the 14 benchmarks both have, GPT-6.1 Sol leads 6, Kimi K3.1 Pro leads 8. Every overall index that rates both puts Kimi K3.1 Pro ahead.
| Overall index | GPT-6.1 Sol (max) | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| BenchLeader Index | 69.9 | 66.8 | neck and neck |
| AA Intelligence Index v4.3.2 | 51.8 | 55.1 | Kimi K3.1 Pro |
Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).
Price, speed and latency
List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.
| Measure | GPT-6.1 Sol (max) | Kimi K3.1 Pro |
|---|---|---|
| Blended price per 1M tokens | $4.00 | $4.00 |
| Input / output per 1M | $2.00 / $10.00 | $2.00 / $10.00 |
| Cached input per 1M | $0.100 | $0.200 |
| Price per task: chat reply | $0.0038 | $0.0038 |
| Price per task: summarize a 30-page report | $0.030 | $0.030 |
| Price per task: code edit | $0.027 | $0.027 |
| Price per task: agentic coding session | $0.160 | $0.160 |
| Price per task: structured extraction | $0.0060 | $0.0060 |
| Cost to run a full benchmark suite | $0.724 | $2.11 |
| Output speed | 55 tok/s | 81 tok/s |
| Time to first answer | 236.0 s | 27.7 s |
| Time to a complete answer | 245.1 s | 33.9 s |
Per token is not per task: on Artificial Analysis' full suite GPT-6.1 Sol (max) cost $0.724 and Kimi K3.1 Pro $2.11, because Kimi K3.1 Pro used about 2.9× as many tokens for the same work, which a per-token price hides.
Each model is compared at its best-ranked reasoning-effort setting. GPT-6.1 Sol (max) scores 69.9 and takes 236 s to its first answer token; GPT-6.1 Sol (high) scores 67.7 in 30 s, GPT-6.1 Sol (xhigh) scores 67.7 in 77 s. Kimi K3.1 Pro scores 66.8 and takes 28 s to its first answer token. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.
Every benchmark
110 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.
| Metric | Publisher | GPT-6.1 Sol (max) | Kimi K3.1 Pro |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 69.9 | 66.8 |
| Agents & tools score | BenchLeader | 64.6 | 67.3 |
| Coding score | BenchLeader | 72.0 | – |
| Composite score | BenchLeader | 87.5 | 75.8 |
| Human preference score | BenchLeader | 67.2 | – |
| Knowledge score | BenchLeader | 78.4 | 74.8 |
| Long context score | BenchLeader | 66.6 | 68.3 |
| Maths score | BenchLeader | 73.0 | – |
| Multimodal score | BenchLeader | 66.1 | 67.0 |
| Reasoning score | BenchLeader | 76.0 | 81.3 |
| Blended price $/M | BenchLeader | $4.00 | $4.00 |
| Output speed | BenchLeader | 55 tok/s | 81 tok/s |
| Time to first answer | BenchLeader | 236.0 s | 27.7 s |
| Context window | BenchLeader | 1,050,000 tokens | 1,048,576 tokens |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | 95.4% | – |
| Arena Hard Prompts | Arena (LMArena) | 1504 | – |
| LiveBench 2.0 Reasoning | LiveBench | 92.6%† | 91.1% |
| LiveBench 1.0 Reasoning | LiveBench | 92.6% | – |
| Humanity's Last Exam (AA) | Artificial Analysis | 52.9% | 52.5% |
| ARC-AGI-1 | ARC Prize | 96.5% | – |
| ARC-AGI-2 | ARC Prize | 94.2% | – |
| ARC-AGI-3 | ARC Prize | 96.2% | – |
| CritPt | Artificial Analysis | 31.7% | 24.6% |
| MysteryMechanism | Vals AI | 46.4% | – |
| Chess Puzzles | Epoch AI Benchmarking Hub | 68.0% | – |
| Mystery Game Puzzles | Epoch AI Benchmarking Hub | 80.0% | – |
| LMCA | Epoch AI Benchmarking Hub | 62.8% | – |
| DTBench | Epoch AI Benchmarking Hub | 96.5% | – |
| Coding | |||
| SciCode | SciCode | 54.2% | – |
| FrontierCode | Cognition | 50.2%† | – |
| Arena Coding | Arena (LMArena) | 1537 | – |
| Arena WebDev | Arena (LMArena) | 1749 | – |
| LiveBench 2.0 Coding | LiveBench | 96.0%† | 81.8% |
| LiveBench 1.0 Coding | LiveBench | 80.4% | – |
| SciCode (AA) | Artificial Analysis | 54.2% | 60.8% |
| IOI | Vals AI | 96.9% | – |
| Code Migration | Vals AI | 65.1% | – |
| Code Migration v1.1 | Vals AI | 77.3% | – |
| ProgramBench | Vals AI | 3.0% | – |
Show all 110 benchmarks
| Metric | Publisher | GPT-6.1 Sol (max) | Kimi K3.1 Pro |
|---|---|---|---|
| Coding | |||
| SWE-bench Multimodal | Vals AI | 43.5% | – |
| Vibe Code Bench v1.1 | Vals AI | 88.9% | – |
| ALE-Bench | Epoch AI Benchmarking Hub | 2743.8 | – |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 56.1% | 67.2% |
| Startrise Frontend | Startrise | 78.6%† | – |
| FrontierCode 1.1 (AA) | Artificial Analysis | 49.1% | 47.1% |
| Agents & tools | |||
| Terminal-Bench | Terminal-Bench | 58.2% | – |
| APEX-Agents | Mercor | 60.0% | – |
| Arena Agent | Arena (LMArena) | 13.5 | – |
| LiveBench Long Agentic | LiveBench | 73.0%† | 49.5% |
| LiveBench Browser | LiveBench | 88.0%† | 80.0% |
| LiveBench Agentic Coding | LiveBench | 54.5% | – |
| HiL-Bench | Scale AI SEAL | 62.3%† | – |
| GDPval-AA v2.1 | Artificial Analysis | 54.8% | 67.3% |
| Analyst Agent (AA) | Artificial Analysis | 50.0% | – |
| CyberBench | Vals AI | 39.3% | – |
| Finance Agent v2 | Vals AI | 52.0% | – |
| Finance Agent v2.1 | Vals AI | 61.8% | – |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 6.3% | – |
| Harvey's Legal Agent Benchmark v1 | Vals AI | 5.4% | – |
| Legal Research Bench | Vals AI | 38.5% | – |
| Robo-bench | Vals AI | 28.3% | – |
| SREBench | Vals AI | 50.8% | – |
| Tax Agent Bench | Vals AI | 21.8% | – |
| Terminal-Bench 4.0 (Vals) | Vals AI | 55.0% | – |
| Terminal-Bench Science | Vals AI | 52.9% | – |
| Arena Search | Arena (LMArena) | 1250 | – |
| AutomationBench | Artificial Analysis | 64.9% | 73.3% |
| GDP.pdf (AA) | Artificial Analysis | 31.0% | 31.4% |
| Harvey LAB-AA v1.1 | Harvey | 6.9% | – |
| AA-Briefcase v1.1 | Artificial Analysis | 1555 | 1678 |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 58.1% | – |
| CWE-Bench (AA) | Artificial Analysis | – | 60.8% |
| DeepSec-Bench (AA) | Artificial Analysis | – | 36.7% |
| CyberGym end-to-end (AA) | Artificial Analysis | – | 94.7% |
| FACTS Search | 88.2%† | – | |
| Maths | |||
| FrontierMath Tiers 1–3 | Epoch AI Benchmarking Hub | 93.7% | – |
| FrontierMath Tier 4 | Epoch AI Benchmarking Hub | 100.0% | – |
| OTIS Mock AIME | Epoch AI Benchmarking Hub | 100.0% | – |
| ProofBench | Vals AI | 99.0%† | – |
| LiveBench Mathematics | LiveBench | 96.8% | – |
| Arena Maths | Arena (LMArena) | 1513 | – |
| Knowledge | |||
| SimpleQA Verified | Epoch AI Benchmarking Hub | 73.9% | – |
| LiveBench 2.0 Data Analysis | LiveBench | 82.7%† | 79.1% |
| LiveBench Research | LiveBench | 83.5%† | 77.9% |
| LiveBench 1.0 Data Analysis | LiveBench | 82.7% | – |
| AA-Omniscience | Artificial Analysis | 41.5 | 29.5 |
| PRBench Finance | Scale AI SEAL | 46.2%† | – |
| PRBench Legal | Scale AI SEAL | 47.9%† | – |
| BioMysteryBench | Vals AI | 79.6% | – |
| ClaimBench | Vals AI | 100.0% | – |
| Excel Modeling Benchmark | Vals AI | 70.8% | – |
| Excel Modeling Benchmark v1.1 | Vals AI | 71.1% | – |
| MedCode | Vals AI | 48.8% | – |
| MedScribe | Vals AI | 86.5% | – |
| Public Benefits Bench v1.1 | Vals AI | 59.3% | – |
| EBR-bench | Epoch AI Benchmarking Hub | 54.3% | – |
| GDP.pdf | Epoch AI Benchmarking Hub | 35.0% | – |
| AA-Omniscience: accuracy | Artificial Analysis | 62.1% | 51.0% |
| AA-Omniscience: non-hallucination | Artificial Analysis | 45.7% | 56.1% |
| Instruction following | |||
| LiveBench Language | LiveBench | 90.1% | – |
| LiveBench Instruction Following | LiveBench | 74.2% | – |
| MultiChallenge | Scale AI SEAL | 82.0%† | – |
| Arena Instruction Following | Arena (LMArena) | 1485 | – |
| Human preference | |||
| Arena Text | Arena (LMArena) | 1480 | – |
| Arena Creative Writing | Arena (LMArena) | 1453 | – |
| Arena Multi-turn | Arena (LMArena) | 1483 | – |
| Arena Longer Queries | Arena (LMArena) | 1489 | – |
| Multimodal | |||
| Arena Vision | Arena (LMArena) | 1288 | – |
| LiveBench Design | LiveBench | 82.1%† | 77.8% |
| MMMU-Pro | Artificial Analysis | 86.0% | 83.9% |
| SAGE | Vals AI | 46.5% | – |
| AA-3D | Artificial Analysis | 1118 | – |
| Long context | |||
| AA-LCR | Artificial Analysis | 83.0% | 86.3% |
| MLCR | Artificial Analysis | 38.3% | – |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | 168.4† | – |
| LiveBench 2.0 | LiveBench | 85.4%† | 76.7% |
| LiveBench 1.0 | LiveBench | 81.6% | – |
| AA Intelligence Index v4.3.2 | Artificial Analysis | 51.8 | 55.1 |
| Vals Index | Vals AI | 63.9 | – |
| Vals Finance Index | Vals AI | 55.8% | – |
| Vals RSI Index | Vals AI | 26.6% | – |
| Vals Science Index | Vals AI | 59.6% | – |
| Vals Router Index | Vals AI | 63.9%† | – |
| AA Cyber Index | Artificial Analysis | – | 64.1 |
Data as of 2026-10-24. Best configuration of each model; every score links to its source on the model pages.
What changed
- Kimi K3.1 Pro: BenchLeader Index 65.6 → 66.8.
- Kimi K3.1 Pro: 5 new results (FrontierCode 1.1 (AA), AA Cyber Index, CWE-Bench (AA)…).
- GPT-6.1 Sol (max): 10 new results (ClaimBench, Code Migration v1.1, Excel Modeling Benchmark v1.1…).
- Kimi K3.1 Pro: first results.
- GPT-6.1 Sol (max): 5 score revisions.
- GPT-6.1 Sol (max): 2 score revisions.
- GPT-6.1 Sol (max): BenchLeader Index 69.3 → 70.0.
- GPT-6.1 Sol (max): 2 new results (LMCA, DTBench).
- GPT-6.1 Sol (max): 2 score revisions.
- GPT-6.1 Sol (max): 2 new results (ProgramBench, Terminal-Bench Science); 1 score revision.
Related comparisons
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- GPT-6.1 Sol vs Gemini 4 Argon
- GPT-6.1 Sol vs Muse Wonder Full
- Kimi K3.1 Pro vs Claude Opus 5.5
- Kimi K3.1 Pro vs Gemini 4 Argon
- Kimi K3.1 Pro vs Muse Wonder Full
- Kimi K3.1 Pro vs Claude Fable 5.1
- GPT-6 Sol vs Kimi K3.1 Pro
Rankings: Best LLM overall · Best LLM for coding · Best LLM for agents · Best cheap LLMs
GPT-6.1 Sol vs Kimi K3.1 Pro: questions
- Is GPT-6.1 Sol better than Kimi K3.1 Pro?
- GPT-6.1 Sol (max) and Kimi K3.1 Pro are neck and neck on quality (69.9 vs 66.8, within the ±7.0 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 2026-10-24, so check the category scores for your use.
- Which is cheaper, GPT-6.1 Sol or Kimi K3.1 Pro, and will that change?
- They cost the same: $4.00 per million tokens blended. No price change has been announced for either.
- Is GPT-6.1 Sol better than Kimi K3.1 Pro for agents and tool use?
- Kimi K3.1 Pro scores higher in agentic tasks (67 vs 65 on the category index, where 50 is average).
- Which is better for long documents?
- Kimi K3.1 Pro scores higher on long-context benchmarks (68 vs 67). Both take about 1.1M tokens: GPT-6.1 Sol 1,050,000, Kimi K3.1 Pro 1,048,576.
- Which has lower latency?
- Kimi K3.1 Pro answers first: 27.7 s against 236.0 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.
- Which is faster, GPT-6.1 Sol or Kimi K3.1 Pro?
- Kimi K3.1 Pro streams faster: 81 against 55 output tokens per second.
- Do independent benchmarks agree on GPT-6.1 Sol vs Kimi K3.1 Pro?
- Across the 14 benchmarks both have, GPT-6.1 Sol leads 6, Kimi K3.1 Pro leads 8. Every overall index that rates both puts Kimi K3.1 Pro ahead.
- When was Kimi K3.1 Pro released?
- Kimi K3.1 Pro was released on 23 Oct 2026.