Model comparison
GPT-5.4 vs Kimi K2.6
GPT-5.4 is the stronger model overall, scoring 59.4 to 47.7 on the Noometry Index. Kimi K2.6 costs 3.3× less per token, which makes it the better buy when GPT-5.4's lead doesn't matter for your workload.
Last verified . 48 shared benchmarks.
Summary
- They share 48 benchmarks with published results for both. GPT-5.4 scores higher in 10 categories and Kimi K2.6 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GPT-5.4 leads 46.5 to 21.9.
- The biggest single-benchmark swing is GBAEval: 45.1% for GPT-5.4 and 0.9% for Kimi K2.6.
- Kimi K2.6 is cheaper at $0.95 / $4 per million input/output tokens, against $2.50 / $15 for GPT-5.4.
- GPT-5.4 accepts more context: 1.05M tokens versus 262K.
- Kimi K2.6 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 | Kimi K2.6 | |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 59.4 | 47.7 |
| Released | 2026-03-05 | 2026-04-20 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $2.50 | $0.95 |
| Output $ / M tokens | $15 | $4 |
| Results tracked | 68 | 51 |
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Category by category
Coding GPT-5.4 leads
GPT-5.4: 52.6 (#33), Kimi K2.6: 50.7 (#43)
| Benchmark | GPT-5.4 | Kimi K2.6 |
|---|---|---|
| SWE-bench Verified | 76.9% | 76.7% |
| LMArena WebDev | 1465 | 1509 |
| SciCode | 56.6% | 53.5% |
| WeirdML | 77.7% | 55.9% |
| LMArena Coding | 1497 | 1488 |
| ALE-Bench | 1,607 | 1,093 |
| DeepSWE | 51.8% | — |
| GSO | 31.4% | — |
| MirrorCode | 15.6% | — |
| AlgoTune | 1.85 | — |
Agentic & Tool Use GPT-5.4 leads
GPT-5.4: 46.5 (#13), Kimi K2.6: 21.9 (#137)
| Benchmark | GPT-5.4 | Kimi K2.6 |
|---|---|---|
| GBAEval | 45.1% | 0.9% |
| Vending-Bench 2 | 6,144 | 6,205 |
| Terminal-Bench | 81.8% | — |
| APEX-Agents | 52.4% | — |
| OSWorld 2.0 | — | 4.6% |
| τ²-bench Banking | 39.4% | — |
| DeepResearch Bench | 35.1% | — |
| PostTrainBench | 19% | — |
| ExploitBench | — | 18.4% |
| GDP.pdf | — | 12% |
| LMArena Search | 1197 | — |
| METR Time Horizons | 74.3% | — |
Reasoning GPT-5.4 leads
GPT-5.4: 61.8 (#19), Kimi K2.6: 40.5 (#55)
| Benchmark | GPT-5.4 | Kimi K2.6 |
|---|---|---|
| NYT Connections (extended) | 91.3% | 87.2% |
| CritPt | 23.4% | 8% |
| Chess Puzzles | 44% | 26% |
| EBR-Bench | 25.4% | 2.4% |
| LMArena Hard Prompts | 1485 | 1470 |
| Mystery Game Puzzles | 37% | 18% |
| DTBench | 94.4% | 90.9% |
| LMCA | 52% | 37.3% |
| Epoch Capabilities Index | 156.81 | 151.05 |
| ARC-AGI-2 | 74% | — |
| Kagi LLM Benchmark | 63.8% | — |
| ARC-AGI-1 | 93.7% | — |
| EnigmaEval | 16% | — |
| Thematic Generalization | 80% | — |
| ForecastBench | 59.5 | — |
Math GPT-5.4 leads
GPT-5.4: 73.5 (#19), Kimi K2.6: 57.0 (#41)
| Benchmark | GPT-5.4 | Kimi K2.6 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 78.6% | 57.2% |
| FrontierMath Tier 4 | 49% | 25.6% |
| MathArena Final-Answer Competitions | 83.1% | 72.9% |
| OTIS Mock AIME 2024-2025 | 97.8% | 96.1% |
| ProofBench | 56% | 16% |
| LMArena Math | 1488 | 1475 |
| FrontierMath (Feb 2025 set) | 47.6% | 39% |
| FrontierMath Tier 4 (v1) | 27.1% | 14.6% |
Knowledge GPT-5.4 leads
GPT-5.4: 65.3 (#14), Kimi K2.6: 54.0 (#54)
| Benchmark | GPT-5.4 | Kimi K2.6 |
|---|---|---|
| GPQA Diamond | 93.3% | 90.8% |
| SimpleQA Verified | 45.1% | 34.9% |
| Vectara Hallucination Rate | 7% | 10.8% |
| LMArena Expert | 1507 | 1491 |
| Humanity's Last Exam | 36.2% | — |
Multimodal GPT-5.4 leads
GPT-5.4: 43.7 (#20), Kimi K2.6: 31.6 (#103)
| Benchmark | GPT-5.4 | Kimi K2.6 |
|---|---|---|
| LMArena Vision | 1303 | 1283 |
| Blueprint-Bench 2 | 27.1% | 3.9% |
| Furniture Assembly | 37.5% | 21.7% |
| LMArena Document | 1471 | 1451 |
Multilingual GPT-5.4 leads
GPT-5.4: 56.2 (#23), Kimi K2.6: 54.9 (#37)
| Benchmark | GPT-5.4 | Kimi K2.6 |
|---|---|---|
| LMArena Non-English | 1465 | 1446 |
| LMArena Chinese | 1519 | 1521 |
| LMArena French | 1493 | 1471 |
| LMArena German | 1472 | 1450 |
| LMArena Japanese | 1485 | 1443 |
| LMArena Korean | 1448 | 1427 |
| LMArena Russian | 1480 | 1446 |
| LMArena Spanish | 1454 | 1464 |
Instruction Following Too close to call
GPT-5.4: 77.1 (#27), Kimi K2.6: 76.3 (#43)
| Benchmark | GPT-5.4 | Kimi K2.6 |
|---|---|---|
| LMArena Instruction Following | 1469 | 1451 |
Long Context GPT-5.4 leads
GPT-5.4: 50.3 (#8), Kimi K2.6: 44.9 (#52)
| Benchmark | GPT-5.4 | Kimi K2.6 |
|---|---|---|
| LMArena Longer Query | 1473 | 1468 |
| CL-bench | 27.9% | — |
| CL-bench Life | 21.7% | — |
Writing & Preference GPT-5.4 leads
GPT-5.4: 71.9 (#17), Kimi K2.6: 68.5 (#26)
| Benchmark | GPT-5.4 | Kimi K2.6 |
|---|---|---|
| LMArena Text | 1469 | 1455 |
| LMArena Creative Writing | 1439 | 1434 |
| EQ-Bench Creative Writing | 1840 | 1725 |
| EQ-Bench 4 | 1272 | 1202 |
| LMArena Multi-Turn | 1482 | 1453 |
Frequently asked questions
Is GPT-5.4 better than Kimi K2.6?
GPT-5.4 is the stronger model overall, scoring 59.4 to 47.7 on the Noometry Index. Kimi K2.6 costs 3.3× less per token, which makes it the better buy when GPT-5.4's lead doesn't matter for your workload.
Which is cheaper, GPT-5.4 or Kimi K2.6?
Kimi K2.6 is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; GPT-5.4 lists at $2.50 and $15.
Is GPT-5.4 or Kimi K2.6 better for coding?
GPT-5.4 scores higher on coding benchmarks: 52.6 versus 50.7 in the Noometry coding category.
Which has the bigger context window?
GPT-5.4 does, with 1.05M tokens against 262K.
How many benchmarks do GPT-5.4 and Kimi K2.6 share?
48 benchmarks have published results for both models. GPT-5.4 has 68 scored results on Noometry and Kimi K2.6 has 51.