Kimi K3.1 Pro Together vs Qwen3.6 Max
Full profiles: Kimi K3.1 Pro Together (Moonshot AI) and Qwen3.6 Max (Alibaba): every benchmark, price and rank.
Updated · Data from 5 sources
As of 9 Nov 2026, Kimi K3.1 Pro Together and Qwen3.6 Max are neck and neck on quality (60.5 vs 62.4 on the BenchLeader Index, inside the ±3.6 margin). Kimi K3.1 Pro Together leads in every category we measure both in.
Key facts (as of 9 Nov 2026)
- Kimi K3.1 Pro Together scores 60.5 on the BenchLeader Index and Qwen3.6 Max scores 62.4 (BenchLeader, 9 Nov 2026).
- Qwen3.6 Max costs $2.92 per 1M tokens blended (list price, 9 Nov 2026).
- Of the 3 benchmarks both models have, Kimi K3.1 Pro Together leads 3 (BenchLeader, 9 Nov 2026).
Kimi K3.1 Pro Together benchmarks max Moonshot AI
Qwen3.6 Max benchmarks max AlibabaAdd a third modelWhich 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 |
|---|---|---|---|
| Maths | Kimi K3.1 Pro Together | 66 vs 64 category score; OTIS Mock AIME 100.0% vs 91.1% | Medium |
| Reasoning | Kimi K3.1 Pro Together | 67 vs 63 category score; GPQA Diamond 94.2% vs 87.4% | Medium |
| Knowledge | Kimi K3.1 Pro Together | 68 vs 60 category score; SimpleQA Verified 62.2% vs 52.0% | Medium |
| Chat quality (human preference) | – | Only Qwen3.6 Max has an Arena rating (65 category score) | Not comparable |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- Kimi K3.1 Pro Together (max) and Qwen3.6 Max (max) are neck and neck on quality (60.5 vs 62.4, within the ±3.6 margin).
- Kimi K3.1 Pro Together (max) is stronger in knowledge, maths, reasoning.
- Qwen3.6 Max (max) is stronger in agents & tools, coding, human preference, instruction following, long context.
At a glance
| Spec | Kimi K3.1 Pro Together | Qwen3.6 Max |
|---|---|---|
| Developer | Moonshot AI | Alibaba |
| Released | 23 Oct 2026 | 20 Apr 2026 |
| Context window (tokens) | – | 262,144 |
| Compared at | Kimi K3.1 Pro Together (max) | Qwen3.6 Max (max) |
| Open weights | No | No |
| Price in / out / cached input per 1M | – | $1.30 / $7.80 / $0.130 |
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 | Kimi K3.1 Pro Together (max) | Qwen3.6 Max (max) | Leader |
|---|---|---|---|
| Reasoning | 67.1 | 62.6 | Kimi K3.1 Pro Together |
| Coding | – | 56.3 | not comparable |
| Agents & tools | – | 72.1 | not comparable |
| Maths | 65.8 | 64.4 | Kimi K3.1 Pro Together |
| Knowledge | 67.6 | 60.4 | Kimi K3.1 Pro Together |
| Instruction following | – | 74.7 | not comparable |
| Human preference | – | 64.6 | not comparable |
| Long context | – | 65.0 | not comparable |
On one chart
Each domain on the index's own scale, where 50 is an average model. Click a domain to see the benchmarks behind it. Pick up to 5 models from the list.
Not drawn, measured for fewer than two of these models: Coding, Agents & tools, Instruction following, Long context, Multimodal, Human preference.
Where sources disagree
Across the 3 benchmarks both have, Kimi K3.1 Pro Together leads 3, Qwen3.6 Max leads 0.
| Overall index | Kimi K3.1 Pro Together (max) | Qwen3.6 Max (max) | Leader |
|---|---|---|---|
| BenchLeader Index | 60.5 | 62.4 | neck and neck |
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. Cost, tokens and time per benchmark task are measured: Artificial Analysis’ averages over its whole Intelligence Index run.
| Measure | Kimi K3.1 Pro Together (max) | Qwen3.6 Max (max) |
|---|---|---|
| Blended price per 1M tokens | – | $2.92 |
| Input / output per 1M | – / – | $1.30 / $7.80 |
| Cached input per 1M | – | $0.130 |
| Price per task: chat reply | – | $0.0029 |
| Price per task: summarize a 30-page report | – | $0.020 |
| Price per task: code edit | – | $0.019 |
| Price per task: agentic coding session | – | $0.109 |
| Price per task: structured extraction | – | $0.0042 |
| Agentic coding session, input mostly cached | – | $0.057 |
Each model is compared at its best-ranked reasoning-effort setting. Kimi K3.1 Pro Together (max) scores 60.5. Qwen3.6 Max (max) scores 62.4. 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
35 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 | Kimi K3.1 Pro Together (max) | Qwen3.6 Max (max) |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 60.5 | 62.4 |
| Knowledge score | BenchLeader | 67.6 | 60.4 |
| Maths score | BenchLeader | 65.8 | 64.4 |
| Reasoning score | BenchLeader | 67.1 | 62.6 |
| Agents & tools score | BenchLeader | – | 72.1 |
| Coding score | BenchLeader | – | 56.3 |
| Human preference score | BenchLeader | – | 64.6 |
| Instruction following score | BenchLeader | – | 74.7 |
| Long context score | BenchLeader | – | 65.0 |
| Blended price $/M | BenchLeader | – | $2.92 |
| Context window | BenchLeader | – | 262,144 tokens |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | 94.2% | 87.4% |
| SimpleBench | SimpleBench | – | 63.0% |
| Arena Hard Prompts | Arena (LMArena) | – | 1481 |
| GPQA Diamond (AA) | Artificial Analysis | – | 88.8% |
| Humanity's Last Exam (AA) | Artificial Analysis | – | 30.8% |
| CritPt | Artificial Analysis | – | 3.7% |
| Chess Puzzles | Epoch AI Benchmarking Hub | 45.0% | – |
| Mystery Game Puzzles | Epoch AI Benchmarking Hub | 42.0% | 19.0%† |
| LMCA | Epoch AI Benchmarking Hub | – | 42.5% |
| DTBench | Epoch AI Benchmarking Hub | – | 87.2% |
| Coding | |||
| SWE-bench Verified (Epoch) | Epoch AI Benchmarking Hub | – | 76.7% |
| Arena Coding | Arena (LMArena) | – | 1510 |
| Arena WebDev | Arena (LMArena) | – | 1482 |
| SWE-bench (Vals) | Vals AI | – | 72.8% |
| Agents & tools | |||
| Terminal-Bench Hard | Artificial Analysis | – | 43.9% |
| τ²-Bench Telecom (AA) | Artificial Analysis | – | 95.9% |
| Terminal-Bench 2.0 (Vals) | Vals AI | – | 51.7% |
| Vending-Bench 2 | Andon Labs | – | 4254.2 |
| Maths | |||
| FrontierMath Tiers 1–3 | Epoch AI Benchmarking Hub | 78.3% | – |
| FrontierMath Tier 4 | Epoch AI Benchmarking Hub | 65.8% | – |
| OTIS Mock AIME | Epoch AI Benchmarking Hub | 100.0% | 91.1% |
| Arena Maths | Arena (LMArena) | – | 1472 |
| Knowledge | |||
| SimpleQA Verified | Epoch AI Benchmarking Hub | 62.2% | 52.0% |
| CorpFin | Vals AI | – | 66.5% |
| CaseLaw v2 | Vals AI | – | 47.9% |
Show all 35 benchmarks
| Metric | Publisher | Kimi K3.1 Pro Together (max) | Qwen3.6 Max (max) |
|---|---|---|---|
| Instruction following | |||
| IFBench | Artificial Analysis | – | 76.6% |
| Arena Instruction Following | Arena (LMArena) | – | 1450 |
| Human preference | |||
| Arena Text | Arena (LMArena) | – | 1460 |
| Arena Creative Writing | Arena (LMArena) | – | 1437 |
| Arena Multi-turn | Arena (LMArena) | – | 1466 |
| Arena Longer Queries | Arena (LMArena) | – | 1473 |
| Long context | |||
| AA-LCR v1.1 | Artificial Analysis | – | 80.7% |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | – | 149.8 |
| AA Intelligence Index v4.3.2 | Artificial Analysis | – | 28.4 |
| AA Progress Index v1 | Artificial Analysis | – | 297.1 |
Data as of 2026-11-09. Best configuration of each model; every score links to its source on the model pages.
What changed
- Kimi K3.1 Pro Together (max): first results.
- Qwen3.6 Max (max): 1 new result (AA Progress Index v1).
- Qwen3.6 Max (max): BenchLeader Index 63.3 → 62.8.
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Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs
Kimi K3.1 Pro Together vs Qwen3.6 Max: questions
- Is Kimi K3.1 Pro Together better than Qwen3.6 Max?
- Kimi K3.1 Pro Together (max) and Qwen3.6 Max (max) are neck and neck on quality (60.5 vs 62.4, within the ±3.6 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 9 Nov 2026, so check the category scores for your use.
- Do independent benchmarks agree on Kimi K3.1 Pro Together vs Qwen3.6 Max?
- Across the 3 benchmarks both have, Kimi K3.1 Pro Together leads 3, Qwen3.6 Max leads 0.
- When was Kimi K3.1 Pro Together released?
- Kimi K3.1 Pro Together was released on 23 Oct 2026.