Model comparison
GPT-5.5 vs Kimi K2 (Jul 2025)
GPT-5.5 is the stronger model overall, scoring 63.4 to 41.2 on the Noometry Index. Kimi K2 (Jul 2025) costs 11× less per token, which makes it the better buy when GPT-5.5's lead doesn't matter for your workload.
Last verified . 29 shared benchmarks.
Summary
- They share 29 benchmarks with published results for both. GPT-5.5 scores higher in 9 categories and Kimi K2 (Jul 2025) in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.5 leads 72.8 to 23.3.
- The biggest single-benchmark swing is Terminal-Bench: 84.7% for GPT-5.5 and 35.7% for Kimi K2 (Jul 2025).
- Kimi K2 (Jul 2025) is cheaper at $0.57 / $2.30 per million input/output tokens, against $5 / $30 for GPT-5.5.
- GPT-5.5 accepts more context: 1.05M tokens versus 262K.
- Kimi K2 (Jul 2025) has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 | Kimi K2 (Jul 2025) | |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 63.4 | 41.2 |
| Released | 2026-04-23 | 2025-07-12 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $5 | $0.57 |
| Output $ / M tokens | $30 | $2.30 |
| Results tracked | 71 | 42 |
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Category by category
Coding GPT-5.5 leads
GPT-5.5: 58.2 (#17), Kimi K2 (Jul 2025): 42.4 (#102)
| Benchmark | GPT-5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| GSO | 40.2% | 4.9% |
| WeirdML | 84.9% | 42.8% |
| LMArena Coding | 1494 | 1399 |
| ALE-Bench | 1,943 | 597.5 |
| SWE-bench Verified | 80.6% | — |
| DeepSWE | 67% | — |
| FrontierCode | 43% | — |
| SWE-bench Verified (bash only) | — | 63.4% |
| Aider Polyglot | — | 59.1% |
| LMArena WebDev | 1513 | — |
| SciCode | 56.1% | — |
| MirrorCode | 10% | — |
Agentic & Tool Use GPT-5.5 leads
GPT-5.5: 50.7 (#6), Kimi K2 (Jul 2025): 32.4 (#64)
| Benchmark | GPT-5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| Terminal-Bench | 84.7% | 35.7% |
| APEX-Agents | 55.1% | — |
| Berkeley Function Calling Leaderboard | — | 59.1% |
| OSWorld 2.0 | 13% | — |
| Remote Labor Index | 6.3% | — |
| τ²-bench Banking | 44.6% | — |
| DeepResearch Bench | 54% | — |
| PostTrainBench | 27.2% | — |
| ExploitBench | 47.4% | — |
| GBAEval | 53.2% | — |
| GDP.pdf | 26% | — |
| LMArena Search | 1242 | — |
| METR Time Horizons | — | 59.2% |
| Vending-Bench 2 | 7,524 | — |
Reasoning GPT-5.5 leads
GPT-5.5: 72.8 (#11), Kimi K2 (Jul 2025): 23.3 (#179)
| Benchmark | GPT-5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| SimpleBench | 69% | 26.3% |
| Kagi LLM Benchmark | 88.8% | 64.4% |
| LMArena Hard Prompts | 1489 | 1384 |
| Epoch Capabilities Index | 159.1 | 146.01 |
| ForecastBench | 60.6 | 60.2 |
| ARC-AGI-2 | 85% | — |
| NYT Connections (extended) | 96.2% | — |
| ARC-AGI-1 | 95% | — |
| CritPt | 27.1% | — |
| Chess Puzzles | 54% | — |
| EBR-Bench | 34.3% | — |
| Mystery Game Puzzles | 56% | — |
| DTBench | 96% | — |
| LMCA | 54.3% | — |
| Surface Evolver Bench | 88.1% | — |
| Bench to the Future 3 | 0.14 | — |
Math GPT-5.5 leads
GPT-5.5: 81.7 (#11), Kimi K2 (Jul 2025): 42.7 (#83)
| Benchmark | GPT-5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Math | 1486 | 1397 |
| FrontierMath (Feb 2025 set) | 51.7% | 21.4% |
| FrontierMath Tier 4 (v1) | 35.4% | 0% |
| FrontierMath (Tiers 1-3) | 85.3% | — |
| FrontierMath Tier 4 | 72.5% | — |
| MathArena Final-Answer Competitions | 94.3% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 50% | — |
| Omni-MATH | — | 65.4% |
| FrontierMath Erdős | 0% | — |
Knowledge GPT-5.5 leads
GPT-5.5: 64.4 (#17), Kimi K2 (Jul 2025): 37.3 (#157)
| Benchmark | GPT-5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | 17.9% |
| LMArena Expert | 1508 | 1365 |
| GPQA Diamond | 94% | — |
| SimpleQA Verified | 63% | — |
| MMLU-Pro | — | 81.9% |
| Confabulations | — | 20.4% |
| GPQA (HELM) | — | 65.3% |
Multimodal Not comparable
GPT-5.5: 46.9 (#12), Kimi K2 (Jul 2025): —
| Benchmark | GPT-5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Vision | 1297 | — |
| Blueprint-Bench 2 | 36.2% | — |
| Furniture Assembly | 44.2% | — |
| LMArena Document | 1486 | — |
Multilingual GPT-5.5 leads
GPT-5.5: 56.4 (#20), Kimi K2 (Jul 2025): 49.6 (#130)
| Benchmark | GPT-5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Non-English | 1467 | 1372 |
| LMArena Chinese | 1533 | 1415 |
| LMArena French | 1486 | 1379 |
| LMArena German | 1480 | 1387 |
| LMArena Japanese | 1498 | 1349 |
| LMArena Korean | 1460 | 1325 |
| LMArena Russian | 1473 | 1385 |
| LMArena Spanish | 1468 | 1386 |
Instruction Following GPT-5.5 leads
GPT-5.5: 77.5 (#18), Kimi K2 (Jul 2025): 71.1 (#156)
| Benchmark | GPT-5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Instruction Following | 1479 | 1348 |
| IFEval | — | 85% |
Long Context GPT-5.5 leads
GPT-5.5: 48.3 (#12), Kimi K2 (Jul 2025): 41.2 (#145)
| Benchmark | GPT-5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Longer Query | 1484 | 1353 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 17.6% |
| CL-bench Life | 22.2% | — |
Writing & Preference GPT-5.5 leads
GPT-5.5: 72.7 (#13), Kimi K2 (Jul 2025): 62.3 (#78)
| Benchmark | GPT-5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Text | 1472 | 1380 |
| LMArena Creative Writing | 1455 | 1350 |
| EQ-Bench Creative Writing | 1844 | 1666 |
| LMArena Multi-Turn | 1476 | 1371 |
| Short-Story Creative Writing | — | 85.6% |
| WildBench | — | 86.2% |
| EQ-Bench 4 | 1315 | — |
Frequently asked questions
Is GPT-5.5 better than Kimi K2 (Jul 2025)?
GPT-5.5 is the stronger model overall, scoring 63.4 to 41.2 on the Noometry Index. Kimi K2 (Jul 2025) costs 11× less per token, which makes it the better buy when GPT-5.5's lead doesn't matter for your workload.
Which is cheaper, GPT-5.5 or Kimi K2 (Jul 2025)?
Kimi K2 (Jul 2025) is cheaper. It lists at $0.57 per million input tokens and $2.30 per million output tokens; GPT-5.5 lists at $5 and $30.
Is GPT-5.5 or Kimi K2 (Jul 2025) better for coding?
GPT-5.5 scores higher on coding benchmarks: 58.2 versus 42.4 in the Noometry coding category.
Which has the bigger context window?
GPT-5.5 does, with 1.05M tokens against 262K.
How many benchmarks do GPT-5.5 and Kimi K2 (Jul 2025) share?
29 benchmarks have published results for both models. GPT-5.5 has 71 scored results on Noometry and Kimi K2 (Jul 2025) has 42.