Model comparison
Kimi K2.6 vs Step 3.7 Flash
Head-to-head evidence from 28 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Kimi K2.6 #11; Step 3.7 Flash unranked
BenchAlign evidence: Kimi K2.6 estimated; Step 3.7 Flash estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Kimi K2.6 and Step 3.7 Flash share 28 comparable benchmark results. 2 of 8 categories are comparable. 30 results are unique to Kimi K2.6; 2 to Step 3.7 Flash.
Updated July 16, 2026- Shared results
- 28
- Kimi K2.6 only
- 30
- Step 3.7 Flash only
- 2
- Comparable categories
- 2 / 8
Pick Kimi K2.6 if you want the stronger benchmark profile. Step 3.7 Flash only becomes the better choice if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 28 shared benchmark results across 6 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Kimi K2.6 is clearly ahead on the provisional aggregate, 71 to 57. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.6's sharpest advantage is in coding, where it averages 64.4 against 56.3. The single biggest benchmark swing on the page is BrowseComp, 83.2% to 75.8%.
Kimi K2.6 is also the more expensive model on tokens at $0.95 input / $4.00 output per 1M tokens, versus $0.20 input / $1.15 output per 1M tokens for Step 3.7 Flash. That is roughly 3.5x on output cost alone.
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 | Step 3.7 Flash |
|---|---|---|---|
| Coding | Kimi K2.664.4 | Margin← 8.1 | Step 3.7 Flash56.3 |
| Agentic | Kimi K2.673.5 | Margin← 7.1 | Step 3.7 Flash66.4 |
| Knowledge | Kimi K2.642.2 | MarginNo overlap | Step 3.7 FlashNot measured |
| Math | Kimi K2.667.1 | MarginNo overlap | Step 3.7 FlashNot measured |
| Multimodal | Kimi K2.679.8 | MarginNo overlap | Step 3.7 FlashNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
BrowseComp
AgenticA 83.2%B 75.8%Winner: Kimi K2.6Δ 7.4BrowseComp: Kimi K2.6 scored 83.2%; Step 3.7 Flash scored 75.8%. Kimi K2.6 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 66.7%B 59.5%Winner: Kimi K2.6Δ 7.2Terminal-Bench 2.0: Kimi K2.6 scored 66.7%; Step 3.7 Flash scored 59.5%. Kimi K2.6 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 58.6%B 56.3%Winner: Kimi K2.6Δ 2.3SWE-bench Pro: Kimi K2.6 scored 58.6%; Step 3.7 Flash scored 56.3%. 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 | Step 3.7 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi K2.6$0.95 input / $4 output | Step 3.7 Flash$0.2 input / $1.15 output | Step 3.7 Flash has the lower combined listed price. |
| Generation speedtokens per second | Kimi K2.6Not available | Step 3.7 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Kimi K2.6Not available | Step 3.7 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Kimi K2.6256K | Step 3.7 Flash256K | Listed context windows are equal. |
Benchmark Deep Dive
AgenticKimi K2.6 wins22 benchmarks
| Benchmark | Kimi K2.6 | Step 3.7 Flash | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 66.7% | 59.5% | Kimi K2.6 leads |
| BrowseCompSource | 83.2% | 75.8% | Kimi K2.6 leads |
| OSWorld-VerifiedSource | 73.1% | — | Not comparable |
| ToolathlonSource | 50% | 49.5% | Kimi K2.6 leads |
| MCP AtlasSource | 55.9% | — | Not comparable |
| Claw-EvalSource | 62.3% | 67.1% | Step 3.7 Flash leads |
| DeepSearchQASource | 92.5% | 92.8% | Step 3.7 Flash leads |
| WideResearchSource | 80.8% | — | Not comparable |
| AA Agentic IndexSource | 30.3% | 21.5% | Kimi K2.6 leads |
| τ²-bench resultsSource | 95.9% | 98.5% | Step 3.7 Flash leads |
| GDPval-AASource | 34.5% | 25.9% | Kimi K2.6 leads |
| GDPval-AASource | 1191 | 1017 | Kimi K2.6 leads |
| APEX-Agents-AASource | 28.5% | 14.8% | Kimi K2.6 leads |
| Gert LabsSource | 56.82% | 51.57% | Kimi K2.6 leads |
| ResearchClawBenchSource | 18.0% | — | Not comparable |
| OSWorld 2.0Source | 4.6% | — | Not comparable |
| AA BriefcaseSource | 815 | — | Not comparable |
| AA EnterpriseOps-GymSource | 38.5% | — | Not comparable |
| AA Harvey LABSource | 0.0% | — | Not comparable |
| AA ITBenchSource | 31.2% | — | Not comparable |
| AA Tau3 BankingSource | 20.6% | — | Not comparable |
| HLE w/ toolsSource | — | 47.2% | Not comparable |
CodingKimi K2.6 wins12 benchmarks
| Benchmark | Kimi K2.6 | Step 3.7 Flash | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.2% | — | Not comparable |
| LiveCodeBench v6Source | 89.6% | — | Not comparable |
| SWE-bench ProSource | 58.6% | 56.3% | Kimi K2.6 leads |
| SWE MultilingualSource | 76.7% | — | Not comparable |
| SciCodeSource | 52.2% | — | Not comparable |
| Terminal-Bench 2.0Source | 66.7% | 59.5% | Kimi K2.6 leads |
| Vibe Code BenchSource | 37.89% | — | Not comparable |
| cursorBench31Source | 47.6% | — | Not comparable |
| AA Coding IndexSource | 61.8% | 39.6% | Kimi K2.6 leads |
| Terminal-Bench HardSource | 43.9% | 35.6% | Kimi K2.6 leads |
| AA-SciCodeSource | 53.5% | 40.0% | Kimi K2.6 leads |
| AA Terminal-Bench 2.1Source | 65.9% | — | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Kimi K2.6 | Step 3.7 Flash | Result |
|---|---|---|---|
| GPQASource | 90.5% | — | Not comparable |
| GPQA-DSource | 90.5% | — | Not comparable |
| HLESource | 34.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 44.2% | 30.3% | Kimi K2.6 leads |
| AA-GPQA DiamondSource | 91.1% | 80.9% | Kimi K2.6 leads |
| AA-HLESource | 35.9% | 19.9% | Kimi K2.6 leads |
| AA-Omniscience IndexSource | 6.4% | -37.5% | Kimi K2.6 leads |
| AA-Omniscience AccuracySource | 32.8% | 25.4% | Kimi K2.6 leads |
| AA-Omniscience Hallucination RateSource | 39.3% | 84.4% | Kimi K2.6 leads |
| AA Openness IndexSource | 33.3% | — | Not comparable |
Math5 benchmarks
Multimodal8 benchmarks
| Benchmark | Kimi K2.6 | Step 3.7 Flash | Result |
|---|---|---|---|
| MMMU-ProSource | 79.4% | — | Not comparable |
| MMMU-Pro w/ PythonSource | 80.1% | — | Not comparable |
| CharXivSource | 80.4% | — | Not comparable |
| MathVisionSource | 87.4% | — | Not comparable |
| V*Source | 96.9% | 95.3% | Kimi K2.6 leads |
| AA-MMMU-ProSource | 79.4% | 75.3% | Kimi K2.6 leads |
| Design Arena WebsiteSource | 1310 | 1218 | Kimi K2.6 leads |
| SimpleVQASource | — | 79.2% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Kimi K2.6 | Step 3.7 Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | 76.0% | 67.3% | Kimi K2.6 leads |
Frequently Asked Questions (3)
Which is better, Kimi K2.6 or Step 3.7 Flash?
Kimi K2.6 is ahead on BenchLM's provisional leaderboard, 71 to 57. The biggest single separator in this matchup is BrowseComp, where the scores are 83.2% and 75.8%.
Which is better for coding, Kimi K2.6 or Step 3.7 Flash?
Kimi K2.6 has the edge for coding in this comparison, averaging 64.4 versus 56.3. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Kimi K2.6 or Step 3.7 Flash?
Kimi K2.6 has the edge for agentic tasks in this comparison, averaging 73.5 versus 66.4. Inside this category, GDPval-AA 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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