Compare / head-to-head
GPT-5vs
Kimi K2
GPT-5 leads 4 of 4 shared benchmarks. GPT-5 has the larger context window (400K tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
4 – 0
GPT-5 leads
Cheaper per token
—
list price, input + output
Larger context
GPT-5
400K tokens
Providers
2 providers
OpenAI · Moonshot AI
GPT-5
OpenAI · released 2025-08-07
textvision
Kimi K2
Moonshot AI · released 2025-07-11
text
- Context
- 128K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 18 · 7 core
Quality
Benchmark matrix
4 shared · 16 only GPT-5 · 14 only Kimi K2| Benchmark | GPT-5 | Kimi K2 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 4 | ||||
| AIME 2025 | 94.6% ↗ | 49.5% ↗ | +45.1 pt | GPT-5 |
| GSO Opt@1 (GSO) | 5.9% ↗ | 2% ↗ | +3.9 pt | GPT-5 |
| SimpleBench (SimpleBench) | 56.7% ↗ | 26.3% ↗ | +30.4 pt | GPT-5 |
| WeirdML (Håvard Tveit Ihle) | 60.7% ↗ | 39.4% ↗ | +21.3 pt | GPT-5 |
| Only GPT-5 reports · 16 | ||||
| SWE-bench Verified | 74.9% ↗ | not reported | — | — |
| GPQA Diamond | 86.2% ↗epoch run | not reported | — | — |
| LMArena Elo | 1434.5 ↗ | not reported | — | — |
| BALROG (BALROG) | 32.8% ↗ | not reported | — | — |
| Chess Puzzles (Epoch AI run) | 37% ↗epoch run | not reported | — | — |
| EBR-bench (Epoch AI run) | 12.7% ↗epoch run | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 22% ↗epoch run | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 55.4% ↗epoch run | not reported | — | — |
| LMArena Vision (LMArena) | 1210.2 ↗ | not reported | — | — |
| LMArena WebDev (LMArena) | 1417.1 ↗ | not reported | — | — |
| MATH Level 5 (Epoch AI run) | 98.1% ↗epoch run | not reported | — | — |
| Mystery Game Puzzles (Epoch AI run) | 23% ↗epoch run | not reported | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 91.4% ↗epoch run | not reported | — | — |
| SAGE (Vals AI) | 43.7% ↗ | not reported | — | — |
| SimpleQA Verified | 50.1% ↗epoch run | not reported | — | — |
| SWE-bench Verified (Epoch AI run) | 73.6% ↗epoch run | not reported | — | — |
| Only Kimi K2 reports · 14 | ||||
| MMLU-Pro | not reported | 81.1% ↗ | — | — |
| Aider-Polyglot | not reported | 60% ↗ | — | — |
| GPQA-Diamond | not reported | 75.1% ↗ | — | — |
| Humanity's Last Exam (Text Only) | not reported | 4.7% ↗ | — | — |
| IFEval (Prompt Strict) | not reported | 89.8% ↗ | — | — |
| LiveCodeBench v6 (Aug 24 - May 25) | not reported | 53.7% ↗ | — | — |
| MMLU-Redux | not reported | 92.7% ↗ | — | — |
| SimpleQA | not reported | 31% ↗ | — | — |
| SWE-bench Multilingual (Agentic Coding, single attempt) | not reported | 47.3% ↗ | — | — |
| SWE-bench Verified (Agentic Coding, single attempt) | not reported | 65.8% ↗ | — | — |
| Tau2 airline | not reported | 56.5% ↗ | — | — |
| Tau2 retail | not reported | 70.6% ↗ | — | — |
| Tau2 telecom | not reported | 65.8% ↗ | — | — |
| TerminalBench (Inhouse Framework) | not reported | 30% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is GPT-5 minus Kimi K2 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | GPT-5 | Kimi K2 | Edge |
|---|---|---|---|
| Context window | 400K tokens | 128K tokens | GPT-5 |
| Max output | 128K tokens | — | — |
| Input price / 1M | $1.25 ↗ | — | — |
| Output price / 1M | $10 ↗ | — | — |
| Cached input / 1M | $0.125 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $11.25 | — | — |
| Modalities | text · vision | text | GPT-5 |
| Released | 2025-08-07 | 2025-07-11 | — |
| Cited benchmark scores | 27 | 18 | — |
Reliability
Provider status
Live from /statusMore matchups
GPT-5 vs …
Models sharing the most benchmarksMore matchups
Kimi K2 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GPT-5 and Kimi K2 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.