Model comparison
Kimi K2.7 Code vs Laguna M.1
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Kimi K2.7 Code #92 (Estimated); Laguna M.1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Kimi K2.7 Code and Laguna M.1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 23 results are unique to Kimi K2.7 Code; 5 to Laguna M.1.
Updated July 27, 2026- Shared results
- 0
- Kimi K2.7 Code only
- 23
- Laguna M.1 only
- 5
- Comparable categories
- 0 / 8
Benchmark data for Kimi K2.7 Code and Laguna M.1 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Kimi K2.7 Code | Laguna M.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi K2.7 Code$0.95 input / $4 output | Laguna M.1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Kimi K2.7 CodeNot available | Laguna M.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Kimi K2.7 CodeNot available | Laguna M.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Kimi K2.7 Code256K | Laguna M.1256K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Kimi K2.7 Code | Laguna M.1 | Result |
|---|---|---|---|
| Kimi Claw 24/7Source | 46.9% | — | Not comparable |
| MCP AtlasSource | 76% | — | Not comparable |
| MCP Mark VerifiedSource | 81.1% | — | Not comparable |
| AA Agentic IndexSource | 29.6% | — | Not comparable |
| τ²-bench resultsSource | 90.1% | — | Not comparable |
| GDPval-AASource | 34.3% | — | Not comparable |
| GDPval-AASource | 1186 | — | Not comparable |
| Terminal-Bench 2.0Source | — | 45.8% | Not comparable |
Coding10 benchmarks
| Benchmark | Kimi K2.7 Code | Laguna M.1 | 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% | — | Not comparable |
| AA-SciCodeSource | 47.5% | — | Not comparable |
| SWE-bench VerifiedSource | — | 74.6% | Not comparable |
| SWE MultilingualSource | — | 63.1% | Not comparable |
| SWE-bench ProSource | — | 49.2% | Not comparable |
| Terminal-Bench 2.0Source | — | 45.8% | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Kimi K2.7 Code | Laguna M.1 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 42.0% | — | Not comparable |
| AA-GPQA DiamondSource | 89.6% | — | Not comparable |
| AA-HLESource | 32.8% | — | Not comparable |
| AA-Omniscience IndexSource | -10.7% | — | Not comparable |
| AA-Omniscience AccuracySource | 38.6% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 80.3% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | Kimi K2.7 Code | Laguna M.1 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1300 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Kimi K2.7 Code | Laguna M.1 | Result |
|---|---|---|---|
| AA-IFBenchSource | 63.1% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Kimi K2.7 Code and Laguna M.1 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 Laguna M.1 today?
Kimi K2.7 Code: $0.95 input / $4.00 output per 1M tokens Laguna M.1: Pricing unavailable 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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Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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