Model comparison
GPT-5.5 Pro vs Kimi K2.7 Code
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 39× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Last verified . 8 shared benchmarks.
Summary
- They share 8 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and Kimi K2.7 Code in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 39.0.
- The biggest single-benchmark swing is FrontierMath Tier 4: 78% for GPT-5.5 Pro and 12.2% for Kimi K2.7 Code.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | Kimi K2.7 Code | |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 64.3 | 43.3 |
| Released | 2026-04-23 | 2026-06-12 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $30 | $0.95 |
| Output $ / M tokens | $180 | $4 |
| Results tracked | 14 | 19 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, Kimi K2.7 Code: 42.9 (#95)
| Benchmark | GPT-5.5 Pro | Kimi K2.7 Code |
|---|---|---|
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| LMArena WebDev | — | 1473 |
| SciCode | — | 47.5% |
| WeirdML | — | 54.1% |
| ALE-Bench | — | 886.23 |
Agentic & Tool Use Not comparable
GPT-5.5 Pro: —, Kimi K2.7 Code: 24.0 (#122)
| Benchmark | GPT-5.5 Pro | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.3 (#10), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | GPT-5.5 Pro | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | 76.9% | 57.9% |
| CritPt | 30.6% | 10% |
| Chess Puzzles | 64% | 21% |
| Epoch Capabilities Index | 162.07 | 149.97 |
| ARC-AGI-2 | 84.6% | — |
| ARC-AGI-1 | 96.5% | — |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
| Surface Evolver Bench | — | 48.8% |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 84.0 (#10), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | GPT-5.5 Pro | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | 54% |
| FrontierMath Tier 4 | 78% | 12.2% |
| OTIS Mock AIME 2024-2025 | 100% | 95.6% |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
Knowledge GPT-5.5 Pro leads
GPT-5.5 Pro: 64.1 (#19), Kimi K2.7 Code: 53.5 (#57)
| Benchmark | GPT-5.5 Pro | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 93.9% | 87.9% |
| SimpleQA Verified | — | 36.5% |
Frequently asked questions
Is GPT-5.5 Pro better than Kimi K2.7 Code?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 39× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.5 Pro or Kimi K2.7 Code?
Kimi K2.7 Code is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; GPT-5.5 Pro lists at $30 and $180.
Which has the bigger context window?
GPT-5.5 Pro does, with 1.05M tokens against 262K.
How many benchmarks do GPT-5.5 Pro and Kimi K2.7 Code share?
8 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Kimi K2.7 Code has 19.