Model comparison
Kimi K2.7 Code vs MiniMax M3
Head-to-head evidence from 17 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Kimi K2.7 Code #92 (Estimated); MiniMax M3 #18 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Kimi K2.7 Code and MiniMax M3 share 17 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to Kimi K2.7 Code; 28 to MiniMax M3.
Updated July 27, 2026- Shared results
- 17
- Kimi K2.7 Code only
- 6
- MiniMax M3 only
- 28
- Comparable categories
- 0 / 8
Benchmark data for Kimi K2.7 Code and MiniMax M3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Kimi K2.7 Code is priced at $0.95 input / $4.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M3. MiniMax M3 has the larger context window at 1M, compared with 256K for Kimi K2.7 Code.
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 K2.7 Code | Δ | MiniMax M3 |
|---|---|---|---|
| Agentic | Kimi K2.7 CodeNot measured | MarginNo overlap | MiniMax M372.3 |
| Coding | Kimi K2.7 CodeNot measured | MarginNo overlap | MiniMax M372.2 |
| Math | Kimi K2.7 CodeNot measured | MarginNo overlap | MiniMax M385.7 |
| Multimodal | Kimi K2.7 CodeNot measured | MarginNo overlap | MiniMax M364.9 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Kimi K2.7 Code | MiniMax M3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi K2.7 Code$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 K2.7 CodeNot available | MiniMax M3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Kimi K2.7 CodeNot available | MiniMax M3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Kimi K2.7 Code256K | MiniMax M31M | MiniMax M3 lists the larger context window. |
Benchmark Deep Dive
Agentic20 benchmarks
| Benchmark | Kimi K2.7 Code | MiniMax M3 | Result |
|---|---|---|---|
| Kimi Claw 24/7Source | 46.9% | — | Not comparable |
| MCP AtlasSource | 76% | 74.2% | Kimi K2.7 Code leads |
| MCP Mark VerifiedSource | 81.1% | — | Not comparable |
| AA Agentic IndexSource | 29.6% | 35.4% | MiniMax M3 leads |
| τ²-bench resultsSource | 90.1% | 88.9% | Kimi K2.7 Code leads |
| GDPval-AASource | 34.3% | 44.5% | MiniMax M3 leads |
| GDPval-AASource | 1186 | 1391 | MiniMax M3 leads |
| Terminal-Bench 2.0Source | — | 66% | Not comparable |
| BrowseCompSource | — | 83.5% | Not comparable |
| OSWorld-VerifiedSource | — | 70.1% | Not comparable |
| Claw-EvalSource | — | 74.5% | Not comparable |
| GDPval rubricsSource | — | 74.7% | Not comparable |
| BankerToolBenchSource | — | 76.1% | Not comparable |
| ResearchClawBenchSource | — | 19.8% | Not comparable |
| OSWorld 2.0Source | — | 4.6% | Not comparable |
| AA BriefcaseSource | — | 1110 | Not comparable |
| AA EnterpriseOps-GymSource | — | 32.1% | Not comparable |
| AA Harvey LABSource | — | 88.4% | Not comparable |
| terminalBenchHardSource | — | 42.4% | Not comparable |
| aaTerminalBench21Source | — | 65.2% | Not comparable |
Coding13 benchmarks
| Benchmark | Kimi K2.7 Code | MiniMax M3 | Result |
|---|---|---|---|
| Kimi Code Bench v2Source | 62.0% | — | Not comparable |
| ProgramBenchSource | 53.6% | — | Not comparable |
| MLS-Bench LiteSource | 35.1% | — | Not comparable |
| cursorBench32Source | 49.7% | — | Not comparable |
| AA Coding IndexSource | 60.8% | 58.6% | Kimi K2.7 Code leads |
| AA-SciCodeSource | 47.5% | 45.4% | Kimi K2.7 Code leads |
| SWE-bench VerifiedSource | — | 80.5% | Not comparable |
| SWE-bench ProSource | — | 59% | Not comparable |
| Terminal-Bench 2.0Source | — | 66.0% | Not comparable |
| 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
Knowledge7 benchmarks
| Benchmark | Kimi K2.7 Code | MiniMax M3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 42.0% | 44.4% | MiniMax M3 leads |
| AA-GPQA DiamondSource | 89.6% | 92.9% | MiniMax M3 leads |
| AA-HLESource | 32.8% | 37.1% | MiniMax M3 leads |
| AA-Omniscience IndexSource | -10.7% | 1.4% | MiniMax M3 leads |
| AA-Omniscience AccuracySource | 38.6% | 15.0% | Kimi K2.7 Code leads |
| AA-Omniscience Hallucination RateSource | 80.3% | 16.1% | MiniMax M3 leads |
| AA Openness IndexSource | — | 33.3% | Not comparable |
Math1 benchmarks
| Benchmark | Kimi K2.7 Code | MiniMax M3 | Result |
|---|---|---|---|
| USAMO 2026Source | — | 85.7% | Not comparable |
Multimodal7 benchmarks
| Benchmark | Kimi K2.7 Code | MiniMax M3 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1300 | 1286 | Kimi K2.7 Code leads |
| OfficeQA ProSource | — | 45.1% | Not comparable |
| OmniDocBench 1.5Source | — | 91.6% | Not comparable |
| MMMU-ProSource | — | 78.1% | Not comparable |
| VideoMMMUSource | — | 84.6% | Not comparable |
| Video-MME (with subtitle)Source | — | 85.4% | Not comparable |
| AA-MMMU-ProSource | — | 78.6% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Kimi K2.7 Code | MiniMax M3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 63.1% | 82.9% | MiniMax M3 leads |
Frequently Asked Questions (3)
Can I compare Kimi K2.7 Code and MiniMax M3 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Kimi K2.7 Code and MiniMax M3 today?
Kimi K2.7 Code: $0.95 input / $4.00 output per 1M tokens MiniMax M3: $0.30 input / $1.20 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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