Model comparison
Kimi K2.6 vs Qwen3.5-35B-A3B
Head-to-head evidence from 20 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Kimi K2.6 #74 (Estimated); Qwen3.5-35B-A3B #72 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Kimi K2.6 and Qwen3.5-35B-A3B share 20 comparable benchmark results. 3 of 8 categories are comparable. 31 results are unique to Kimi K2.6; 8 to Qwen3.5-35B-A3B.
Updated July 23, 2026- Shared results
- 20
- Kimi K2.6 only
- 31
- Qwen3.5-35B-A3B only
- 8
- Comparable categories
- 3 / 8
Pick Qwen3.5-35B-A3B if you want the stronger benchmark profile. Kimi K2.6 only becomes the better choice if agentic is the priority.
Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 6 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Qwen3.5-35B-A3B has the cleaner BenchAlign overall profile here, landing at 56.97 versus 56.79. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Qwen3.5-35B-A3B's sharpest advantage is in knowledge, where it averages 81.6 against 42.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 66.7% to 40.5%. Kimi K2.6 does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Kimi K2.6 is also the more expensive model on tokens at $0.95 input / $4.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-35B-A3B. That is roughly Infinityx on output cost alone. Qwen3.5-35B-A3B gives you the larger context window at 262K, compared with 256K for Kimi K2.6.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Kimi K2.6 | Δ | Qwen3.5-35B-A3B |
|---|---|---|---|
| Knowledge | Kimi K2.642.2 | Margin→ 39.4 | Qwen3.5-35B-A3B81.6 |
| Agentic | Kimi K2.673.5 | Margin← 22.5 | Qwen3.5-35B-A3B51.0 |
| Coding | Kimi K2.664.4 | Margin← 3.8 | Qwen3.5-35B-A3B60.6 |
| Reasoning | Kimi K2.6Not measured | MarginNo overlap | Qwen3.5-35B-A3B59.0 |
| Math | Kimi K2.667.1 | MarginNo overlap | Qwen3.5-35B-A3BNot measured |
| Multilingual | Kimi K2.6Not measured | MarginNo overlap | Qwen3.5-35B-A3B81.0 |
| Multimodal | Kimi K2.679.8 | MarginNo overlap | Qwen3.5-35B-A3BNot measured |
| Inst. Following | Kimi K2.6Not measured | MarginNo overlap | Qwen3.5-35B-A3B91.9 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 66.7%B 40.5%Winner: Kimi K2.6Δ 26.2Terminal-Bench 2.0: Kimi K2.6 scored 66.7%; Qwen3.5-35B-A3B scored 40.5%. Kimi K2.6 wins this benchmark. - Source ↗
BrowseComp
AgenticA 83.2%B 61%Winner: Kimi K2.6Δ 22.2BrowseComp: Kimi K2.6 scored 83.2%; Qwen3.5-35B-A3B scored 61%. Kimi K2.6 wins this benchmark. - Source ↗
OSWorld-Verified
AgenticA 73.1%B 54.5%Winner: Kimi K2.6Δ 18.6OSWorld-Verified: Kimi K2.6 scored 73.1%; Qwen3.5-35B-A3B scored 54.5%. Kimi K2.6 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 80.2%B 69.2%Winner: Kimi K2.6Δ 11SWE-bench Verified: Kimi K2.6 scored 80.2%; Qwen3.5-35B-A3B scored 69.2%. Kimi K2.6 wins this benchmark. - Source ↗
GPQA
KnowledgeA 90.5%B 84.2%Winner: Kimi K2.6Δ 6.3GPQA: Kimi K2.6 scored 90.5%; Qwen3.5-35B-A3B scored 84.2%. Kimi K2.6 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Kimi K2.6 | Qwen3.5-35B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi K2.6$0.95 input / $4 output | Qwen3.5-35B-A3B$0 input / $0 output | Qwen3.5-35B-A3B has the lower combined listed price. |
| Generation speedtokens per second | Kimi K2.6Not available | Qwen3.5-35B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Kimi K2.6Not available | Qwen3.5-35B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Kimi K2.6256K | Qwen3.5-35B-A3B262K | Qwen3.5-35B-A3B lists the larger context window. |
Benchmark Deep Dive
AgenticKimi K2.6 wins17 benchmarks
| Benchmark | Kimi K2.6 | Qwen3.5-35B-A3B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 66.7% | 40.5% | Kimi K2.6 leads |
| BrowseCompSource | 83.2% | 61% | Kimi K2.6 leads |
| OSWorld-VerifiedSource | 73.1% | 54.5% | Kimi K2.6 leads |
| ToolathlonSource | 50% | — | Not comparable |
| MCP AtlasSource | 55.9% | — | Not comparable |
| Claw-EvalSource | 62.3% | — | Not comparable |
| DeepSearchQASource | 92.5% | — | Not comparable |
| WideResearchSource | 80.8% | — | Not comparable |
| AA Agentic IndexSource | 30.3% | — | Not comparable |
| τ²-bench resultsSource | 95.9% | 89.2% | Kimi K2.6 leads |
| GDPval-AASource | 34.5% | — | Not comparable |
| GDPval-AASource | 1189 | — | Not comparable |
| APEX-Agents-AASource | 28.5% | — | Not comparable |
| Gert LabsSource | 56.82% | 28.96% | Kimi K2.6 leads |
| ResearchClawBenchSource | 18.0% | — | Not comparable |
| OSWorld 2.0Source | 4.6% | — | Not comparable |
| terminalBenchHardSource | 43.9% | — | Not comparable |
CodingKimi K2.6 wins11 benchmarks
| Benchmark | Kimi K2.6 | Qwen3.5-35B-A3B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.2% | 69.2% | Kimi K2.6 leads |
| LiveCodeBench v6Source | 89.6% | — | Not comparable |
| SWE-bench ProSource | 58.6% | — | Not comparable |
| SWE MultilingualSource | 76.7% | — | Not comparable |
| SciCodeSource | 52.2% | — | Not comparable |
| Terminal-Bench 2.0Source | 66.7% | — | Not comparable |
| Vibe Code BenchSource | 37.89% | — | Not comparable |
| cursorBench31Source | 47.6% | — | Not comparable |
| AA Coding IndexSource | 61.8% | — | Not comparable |
| AA-SciCodeSource | 53.5% | 37.7% | Kimi K2.6 leads |
| SWE-RebenchSource | — | 53.7% | Not comparable |
Reasoning3 benchmarks
KnowledgeQwen3.5-35B-A3B wins11 benchmarks
| Benchmark | Kimi K2.6 | Qwen3.5-35B-A3B | Result |
|---|---|---|---|
| GPQASource | 90.5% | 84.2% | Kimi K2.6 leads |
| GPQA-DSource | 90.5% | — | Not comparable |
| HLESource | 34.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 44.2% | 29.3% | Kimi K2.6 leads |
| AA-GPQA DiamondSource | 91.1% | 84.5% | Kimi K2.6 leads |
| AA-HLESource | 35.9% | 19.7% | Kimi K2.6 leads |
| AA-Omniscience IndexSource | 6.4% | -46.4% | Kimi K2.6 leads |
| AA-Omniscience AccuracySource | 32.8% | 20.5% | Kimi K2.6 leads |
| AA-Omniscience Hallucination RateSource | 39.3% | 84.0% | Kimi K2.6 leads |
| MMLU-ProSource | — | 85.3% | Not comparable |
| SuperGPQASource | — | 63.4% | Not comparable |
Math5 benchmarks
Multilingual1 benchmarks
| Benchmark | Kimi K2.6 | Qwen3.5-35B-A3B | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 81% | Not comparable |
Multimodal9 benchmarks
| Benchmark | Kimi K2.6 | Qwen3.5-35B-A3B | Result |
|---|---|---|---|
| MMMU-ProSource | 79.4% | — | Not comparable |
| MMMU-Pro w/ PythonSource | 80.1% | — | Not comparable |
| CharXivSource | 80.4% | — | Not comparable |
| MathVisionSource | 87.4% | 83.9% | Kimi K2.6 leads |
| V*Source | 96.9% | 92.7% | Kimi K2.6 leads |
| AA-MMMU-ProSource | 79.4% | 72.7% | Kimi K2.6 leads |
| Design Arena WebsiteSource | 1306 | — | Not comparable |
| MMMUSource | — | 81.4% | Not comparable |
| MMVUSource | — | 72.3% | Not comparable |
Frequently Asked Questions (4)
Which is better, Kimi K2.6 or Qwen3.5-35B-A3B?
Qwen3.5-35B-A3B is ahead on BenchLM's BenchAlign leaderboard, 56.97 to 56.79. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 66.7% and 40.5%.
Which is better for knowledge tasks, Kimi K2.6 or Qwen3.5-35B-A3B?
Qwen3.5-35B-A3B has the edge for knowledge tasks in this comparison, averaging 81.6 versus 42.2. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, Kimi K2.6 or Qwen3.5-35B-A3B?
Kimi K2.6 has the edge for coding in this comparison, averaging 64.4 versus 60.6. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Kimi K2.6 or Qwen3.5-35B-A3B?
Kimi K2.6 has the edge for agentic tasks in this comparison, averaging 73.5 versus 51. Inside this category, Gert Labs is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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