Model comparison
GPT-5.4 mini vs Kimi K2.7 Code
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 43.3 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. GPT-5.4 mini scores higher in 2 categories and Kimi K2.7 Code in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K2.7 Code leads 39.0 to 30.4.
- The biggest single-benchmark swing is SimpleQA Verified: 29.4% for GPT-5.4 mini and 36.5% for Kimi K2.7 Code.
- Both cost about the same: $0.75 input and $4.50 output per million tokens.
- GPT-5.4 mini accepts more context: 400K tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 mini | Kimi K2.7 Code | |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 45.0 | 43.3 |
| Released | 2026-03-17 | 2026-06-12 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $0.75 | $0.95 |
| Output $ / M tokens | $4.50 | $4 |
| Results tracked | 46 | 19 |
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Category by category
Coding GPT-5.4 mini leads
GPT-5.4 mini: 45.2 (#72), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | GPT-5.4 mini | Kimi K2.7 Code |
|---|---|---|
| FrontierCode | 27% | 30.1% |
| LMArena WebDev | 1397 | 1473 |
| SciCode | 49.9% | 47.5% |
| WeirdML | 60.3% | 54.1% |
| ALE-Bench | 1,189 | 886.23 |
| DeepSWE | — | 30.5% |
| LMArena Coding | 1438 | — |
Agentic & Tool Use GPT-5.4 mini leads
GPT-5.4 mini: 29.9 (#81), Kimi K2.7 Code: 24.0 (#122)
| Benchmark | GPT-5.4 mini | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| DeepResearch Bench | 36.3% | — |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |
Reasoning Kimi K2.7 Code leads
GPT-5.4 mini: 30.4 (#85), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | GPT-5.4 mini | Kimi K2.7 Code |
|---|---|---|
| CritPt | 10% | 10% |
| Chess Puzzles | 24% | 21% |
| Epoch Capabilities Index | 148.84 | 149.97 |
| ARC-AGI-2 | 18.9% | — |
| SimpleBench | — | 57.9% |
| Kagi LLM Benchmark | 37.9% | — |
| NYT Connections (extended) | 61.8% | — |
| ARC-AGI-1 | 63.7% | — |
| Thematic Generalization | 61.7% | — |
| LMArena Hard Prompts | 1424 | — |
| Mystery Game Puzzles | 11% | — |
| DTBench | 80% | — |
| LMCA | 40.8% | — |
| Surface Evolver Bench | — | 48.8% |
| ForecastBench | 57 | — |
Math Kimi K2.7 Code leads
GPT-5.4 mini: 45.5 (#75), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | GPT-5.4 mini | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | 51.2% | 54% |
| FrontierMath Tier 4 | 9.8% | 12.2% |
| OTIS Mock AIME 2024-2025 | 88.9% | 95.6% |
| ProofBench | 21% | — |
| LMArena Math | 1419 | — |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Kimi K2.7 Code leads
GPT-5.4 mini: 51.5 (#67), Kimi K2.7 Code: 53.5 (#57)
| Benchmark | GPT-5.4 mini | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 86.9% | 87.9% |
| SimpleQA Verified | 29.4% | 36.5% |
| Vectara Hallucination Rate | 5.5% | — |
| LMArena Expert | 1435 | — |
Multimodal Not comparable
GPT-5.4 mini: 39.7 (#56), Kimi K2.7 Code: —
| Benchmark | GPT-5.4 mini | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1245 | — |
Multilingual Not comparable
GPT-5.4 mini: 51.9 (#96), Kimi K2.7 Code: —
| Benchmark | GPT-5.4 mini | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1405 | — |
| LMArena Chinese | 1446 | — |
| LMArena French | 1440 | — |
| LMArena German | 1409 | — |
| LMArena Japanese | 1374 | — |
| LMArena Korean | 1368 | — |
| LMArena Russian | 1417 | — |
| LMArena Spanish | 1405 | — |
Instruction Following Not comparable
GPT-5.4 mini: 74.1 (#102), Kimi K2.7 Code: —
| Benchmark | GPT-5.4 mini | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1405 | — |
Long Context Not comparable
GPT-5.4 mini: 43.0 (#112), Kimi K2.7 Code: —
| Benchmark | GPT-5.4 mini | Kimi K2.7 Code |
|---|---|---|
| LMArena Longer Query | 1407 | — |
Writing & Preference Not comparable
GPT-5.4 mini: 64.0 (#58), Kimi K2.7 Code: —
| Benchmark | GPT-5.4 mini | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1412 | — |
| LMArena Creative Writing | 1370 | — |
| EQ-Bench Creative Writing | 1665 | — |
| LMArena Multi-Turn | 1429 | — |
Frequently asked questions
Is GPT-5.4 mini better than Kimi K2.7 Code?
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 43.3 on the Noometry Index.
Which is cheaper, GPT-5.4 mini or Kimi K2.7 Code?
GPT-5.4 mini is cheaper. It lists at $0.75 per million input tokens and $4.50 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is GPT-5.4 mini or Kimi K2.7 Code better for coding?
GPT-5.4 mini scores higher on coding benchmarks: 45.2 versus 42.9 in the Noometry coding category.
Which has the bigger context window?
GPT-5.4 mini does, with 400K tokens against 262K.
How many benchmarks do GPT-5.4 mini and Kimi K2.7 Code share?
13 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Kimi K2.7 Code has 19.