Model comparison
GPT-5.2 Pro vs Kimi K2.7 Code
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 34× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Summary
- They share 4 benchmarks with published results for both. GPT-5.2 Pro scores higher in 2 categories and Kimi K2.7 Code in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.2 Pro leads 51.5 to 39.0.
- The biggest single-benchmark swing is FrontierMath Tier 4: 46% for GPT-5.2 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 $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Pro | Kimi K2.7 Code | |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 52.3 | 43.3 |
| Released | 2025-12-11 | 2026-06-12 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $21 | $0.95 |
| Output $ / M tokens | $168 | $4 |
| Results tracked | 8 | 19 |
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Category by category
Coding Not comparable
GPT-5.2 Pro: —, Kimi K2.7 Code: 42.9 (#95)
| Benchmark | GPT-5.2 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-5.2 Pro: —, Kimi K2.7 Code: 24.0 (#122)
| Benchmark | GPT-5.2 Pro | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |
Reasoning GPT-5.2 Pro leads
GPT-5.2 Pro: 51.5 (#33), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | GPT-5.2 Pro | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | 57.4% | 57.9% |
| Epoch Capabilities Index | 155.4 | 149.97 |
| ARC-AGI-2 | 54.2% | — |
| NYT Connections (extended) | 79.3% | — |
| ARC-AGI-1 | 90.5% | — |
| CritPt | — | 10% |
| Chess Puzzles | — | 21% |
| Surface Evolver Bench | — | 48.8% |
Math GPT-5.2 Pro leads
GPT-5.2 Pro: 65.3 (#29), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | GPT-5.2 Pro | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | 74% | 54% |
| FrontierMath Tier 4 | 46% | 12.2% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Not comparable
GPT-5.2 Pro: —, Kimi K2.7 Code: 53.5 (#57)
| Benchmark | GPT-5.2 Pro | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| SimpleQA Verified | — | 36.5% |
Frequently asked questions
Is GPT-5.2 Pro better than Kimi K2.7 Code?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 34× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.2 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-5.2 Pro lists at $21 and $168.
Which has the bigger context window?
GPT-5.2 Pro does, with 400K tokens against 262K.
How many benchmarks do GPT-5.2 Pro and Kimi K2.7 Code share?
4 benchmarks have published results for both models. GPT-5.2 Pro has 8 scored results on Noometry and Kimi K2.7 Code has 19.