Model comparison
Kimi 3 vs Kimi K2.7 Code
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use BenchLM's provisional ranking lane.
Evidence parity. Kimi 3 and Kimi K2.7 Code share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Kimi 3; 24 to Kimi K2.7 Code.
Updated July 14, 2026- Shared results
- 0
- Kimi 3 only
- 0
- Kimi K2.7 Code only
- 24
- Comparable categories
- 0 / 8
Benchmark data for Kimi 3 and Kimi K2.7 Code 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 does not have sourced benchmark coverage for Kimi 3 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Kimi K2.7 Code has the larger context window at 256K, compared with null for Kimi 3.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Kimi 3 | Kimi K2.7 Code | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi 3Not available | Kimi K2.7 Code$0.95 input / $4 output | A complete price comparison is not available. |
| Generation speedtokens per second | Kimi 3Not available | Kimi K2.7 CodeNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Kimi 3Not available | Kimi K2.7 CodeNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Kimi 3Not available | Kimi K2.7 Code256K | A complete context comparison is not available. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | Kimi 3 | Kimi K2.7 Code | 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 |
| Tau2-TelecomSource | — | 90.1% | Not comparable |
| GDPval-AASource | — | 34.3% | Not comparable |
| GDPval-AASource | — | 1187 | Not comparable |
Coding7 benchmarks
| Benchmark | Kimi 3 | Kimi K2.7 Code | 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 |
| Terminal-Bench HardSource | — | 44.7% | Not comparable |
| AA-SciCodeSource | — | 47.5% | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Kimi 3 | Kimi K2.7 Code | 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 3 | Kimi K2.7 Code | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1304 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Kimi 3 | Kimi K2.7 Code | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 63.1% | Not comparable |
Frequently Asked Questions (3)
Can I compare Kimi 3 and Kimi K2.7 Code 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 3 and Kimi K2.7 Code today?
Kimi 3: Pricing unavailable Kimi K2.7 Code: $0.95 input / $4.00 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.
Related Comparisons
The AI models change fast. We track them for you.
A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.