Model comparison
Kimi K2.6 vs MiniMax M3
Head-to-head evidence from 34 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Kimi K2.6 #11; MiniMax M3 #18
BenchAlign evidence: Kimi K2.6 estimated; MiniMax M3 supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Kimi K2.6 and MiniMax M3 share 34 comparable benchmark results. 4 of 8 categories are comparable. 24 results are unique to Kimi K2.6; 11 to MiniMax M3.
Updated July 16, 2026- Shared results
- 34
- Kimi K2.6 only
- 24
- MiniMax M3 only
- 11
- Comparable categories
- 4 / 8
Pick Kimi K2.6 if you want the stronger benchmark profile. MiniMax M3 only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 34 shared benchmark results across 6 evidence categories; 4 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 finishes one point ahead on BenchLM's provisional leaderboard, 71 to 70. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Kimi K2.6's sharpest advantage is in multimodal & grounded, where it averages 79.8 against 64.9. The single biggest benchmark swing on the page is OSWorld-Verified, 73.1% to 70.1%. MiniMax M3 does hit back in mathematics, 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 $0.30 input / $1.20 output per 1M tokens for MiniMax M3. That is roughly 3.3x on output cost alone. Kimi K2.6 is the reasoning model in the pair, while MiniMax M3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. MiniMax M3 gives you the larger context window at 1M, 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 | MiniMax M3 |
|---|---|---|---|
| Math | Kimi K2.667.1 | Margin→ 18.6 | MiniMax M385.7 |
| Multimodal | Kimi K2.679.8 | Margin← 14.9 | MiniMax M364.9 |
| Coding | Kimi K2.664.4 | Margin→ 7.8 | MiniMax M372.2 |
| Agentic | Kimi K2.673.5 | Margin← 1.2 | MiniMax M372.3 |
| Knowledge | Kimi K2.642.2 | MarginNo overlap | MiniMax M3Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
OSWorld-Verified
AgenticA 73.1%B 70.1%Winner: Kimi K2.6Δ 3OSWorld-Verified: Kimi K2.6 scored 73.1%; MiniMax M3 scored 70.1%. Kimi K2.6 wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 79.4%B 78.1%Winner: Kimi K2.6Δ 1.3MMMU-Pro: Kimi K2.6 scored 79.4%; MiniMax M3 scored 78.1%. Kimi K2.6 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 66.7%B 66%Winner: Kimi K2.6Δ 0.7Terminal-Bench 2.0: Kimi K2.6 scored 66.7%; MiniMax M3 scored 66%. Kimi K2.6 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 58.6%B 59%Winner: MiniMax M3Δ 0.4SWE-bench Pro: Kimi K2.6 scored 58.6%; MiniMax M3 scored 59%. MiniMax M3 wins this benchmark. - Source ↗
BrowseComp
AgenticA 83.2%B 83.5%Winner: MiniMax M3Δ 0.3BrowseComp: Kimi K2.6 scored 83.2%; MiniMax M3 scored 83.5%. MiniMax M3 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Kimi K2.6 | MiniMax M3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi K2.6$0.95 input / $4 output | MiniMax M3$0.3 input / $1.2 output | MiniMax M3 has the lower combined listed price. |
| Generation speedtokens per second | Kimi K2.6Not available | MiniMax M3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Kimi K2.6Not available | MiniMax M3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Kimi K2.6256K | MiniMax M31M | MiniMax M3 lists the larger context window. |
Benchmark Deep Dive
AgenticKimi K2.6 wins23 benchmarks
| Benchmark | Kimi K2.6 | MiniMax M3 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 66.7% | 66% | Kimi K2.6 leads |
| BrowseCompSource | 83.2% | 83.5% | MiniMax M3 leads |
| OSWorld-VerifiedSource | 73.1% | 70.1% | Kimi K2.6 leads |
| ToolathlonSource | 50% | — | Not comparable |
| MCP AtlasSource | 55.9% | 74.2% | MiniMax M3 leads |
| Claw-EvalSource | 62.3% | 74.5% | MiniMax M3 leads |
| DeepSearchQASource | 92.5% | — | Not comparable |
| WideResearchSource | 80.8% | — | Not comparable |
| AA Agentic IndexSource | 30.3% | 35.4% | MiniMax M3 leads |
| τ²-bench resultsSource | 95.9% | 88.9% | Kimi K2.6 leads |
| GDPval-AASource | 34.5% | 44.7% | MiniMax M3 leads |
| GDPval-AASource | 1191 | 1395 | MiniMax M3 leads |
| APEX-Agents-AASource | 28.5% | — | Not comparable |
| Gert LabsSource | 56.82% | — | Not comparable |
| ResearchClawBenchSource | 18.0% | 19.8% | MiniMax M3 leads |
| OSWorld 2.0Source | 4.6% | 4.6% | Tie |
| AA BriefcaseSource | 815 | 1110 | MiniMax M3 leads |
| AA EnterpriseOps-GymSource | 38.5% | 32.1% | Kimi K2.6 leads |
| AA Harvey LABSource | 0.0% | 6.7% | MiniMax M3 leads |
| AA ITBenchSource | 31.2% | — | Not comparable |
| AA Tau3 BankingSource | 20.6% | — | Not comparable |
| GDPval rubricsSource | — | 74.7% | Not comparable |
| BankerToolBenchSource | — | 76.1% | Not comparable |
CodingMiniMax M3 wins16 benchmarks
| Benchmark | Kimi K2.6 | MiniMax M3 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.2% | 80.5% | MiniMax M3 leads |
| LiveCodeBench v6Source | 89.6% | — | Not comparable |
| SWE-bench ProSource | 58.6% | 59% | MiniMax M3 leads |
| SWE MultilingualSource | 76.7% | — | Not comparable |
| SciCodeSource | 52.2% | — | Not comparable |
| Terminal-Bench 2.0Source | 66.7% | 66.0% | Kimi K2.6 leads |
| Vibe Code BenchSource | 37.89% | — | Not comparable |
| cursorBench31Source | 47.6% | — | Not comparable |
| AA Coding IndexSource | 61.8% | 58.6% | Kimi K2.6 leads |
| Terminal-Bench HardSource | 43.9% | 42.4% | Kimi K2.6 leads |
| AA-SciCodeSource | 53.5% | 45.4% | Kimi K2.6 leads |
| AA Terminal-Bench 2.1Source | 65.9% | 65.2% | Kimi K2.6 leads |
| NL2RepoSource | — | 42.1% | Not comparable |
| VIBE V2Source | — | 50.1% | Not comparable |
| SVG-BenchSource | — | 63.7% | Not comparable |
| KernelBench HardSource | — | 28.8% | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Kimi K2.6 | MiniMax M3 | Result |
|---|---|---|---|
| GPQASource | 90.5% | — | Not comparable |
| GPQA-DSource | 90.5% | — | Not comparable |
| HLESource | 34.7% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 44.2% | 44.4% | MiniMax M3 leads |
| AA-GPQA DiamondSource | 91.1% | 92.9% | MiniMax M3 leads |
| AA-HLESource | 35.9% | 37.1% | MiniMax M3 leads |
| AA-Omniscience IndexSource | 6.4% | 1.4% | Kimi K2.6 leads |
| AA-Omniscience AccuracySource | 32.8% | 15.0% | Kimi K2.6 leads |
| AA-Omniscience Hallucination RateSource | 39.3% | 16.1% | MiniMax M3 leads |
| AA Openness IndexSource | 33.3% | 33.3% | Tie |
MathMiniMax M3 wins6 benchmarks
MultimodalKimi K2.6 wins11 benchmarks
| Benchmark | Kimi K2.6 | MiniMax M3 | Result |
|---|---|---|---|
| MMMU-ProSource | 79.4% | 78.1% | Kimi K2.6 leads |
| MMMU-Pro w/ PythonSource | 80.1% | — | Not comparable |
| CharXivSource | 80.4% | — | Not comparable |
| MathVisionSource | 87.4% | — | Not comparable |
| V*Source | 96.9% | — | Not comparable |
| AA-MMMU-ProSource | 79.4% | 78.6% | Kimi K2.6 leads |
| Design Arena WebsiteSource | 1310 | 1294 | Kimi K2.6 leads |
| OfficeQA ProSource | — | 45.1% | Not comparable |
| OmniDocBench 1.5Source | — | 91.6% | Not comparable |
| VideoMMMUSource | — | 84.6% | Not comparable |
| Video-MME (with subtitle)Source | — | 85.4% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Kimi K2.6 | MiniMax M3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 76.0% | 82.9% | MiniMax M3 leads |
Frequently Asked Questions (5)
Which is better, Kimi K2.6 or MiniMax M3?
Kimi K2.6 is ahead on BenchLM's provisional leaderboard, 71 to 70. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 73.1% and 70.1%.
Which is better for coding, Kimi K2.6 or MiniMax M3?
MiniMax M3 has the edge for coding in this comparison, averaging 72.2 versus 64.4. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for math, Kimi K2.6 or MiniMax M3?
MiniMax M3 has the edge for math in this comparison, averaging 85.7 versus 67.1. Kimi K2.6 stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, Kimi K2.6 or MiniMax M3?
Kimi K2.6 has the edge for agentic tasks in this comparison, averaging 73.5 versus 72.3. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Kimi K2.6 or MiniMax M3?
Kimi K2.6 has the edge for multimodal and grounded tasks in this comparison, averaging 79.8 versus 64.9. Inside this category, Design Arena Website 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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