Model comparison
Claude Sonnet 4.6 vs GPT-5.1-Codex-mini
Claude Sonnet 4.6 has enough public results to be ranked (#50); GPT-5.1-Codex-mini does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 2 categories and GPT-5.1-Codex-mini in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where Claude Sonnet 4.6 leads 46.3 to 31.6.
- The biggest single-benchmark swing is Terminal-Bench: 53.4% for Claude Sonnet 4.6 and 61.6% for GPT-5.1-Codex-mini.
- GPT-5.1-Codex-mini is cheaper at $0.25 / $2 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- Claude Sonnet 4.6 accepts more context: 1M tokens versus 400K.
Side by side
| Claude Sonnet 4.6 | GPT-5.1-Codex-mini | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 50.3 | 37.3 |
| Released | 2026-02-17 | 2025-11-12 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 400K |
| Max output | 128K | 128K |
| Input $ / M tokens | $3 | $0.25 |
| Output $ / M tokens | $15 | $2 |
| Results tracked | 57 | 2 |
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Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.3 (#67), GPT-5.1-Codex-mini: 31.6
| Benchmark | Claude Sonnet 4.6 | GPT-5.1-Codex-mini |
|---|---|---|
| LMArena WebDev | 1522 | 1244 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| LMArena Coding | 1504 | — |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Too close to call
Claude Sonnet 4.6: 39.1 (#28), GPT-5.1-Codex-mini: 38.5
| Benchmark | Claude Sonnet 4.6 | GPT-5.1-Codex-mini |
|---|---|---|
| Terminal-Bench | 53.4% | 61.6% |
| APEX-Agents | 43% | — |
| OSWorld 2.0 | 9.3% | — |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| ExploitBench | 23.6% | — |
| GBAEval | 48.8% | — |
| GDP.pdf | 18% | — |
| LMArena Search | 1221 | — |
| Vending-Bench 2 | 7,204 | — |
Reasoning Not comparable
Claude Sonnet 4.6: 46.1 (#45), GPT-5.1-Codex-mini: —
| Benchmark | Claude Sonnet 4.6 | GPT-5.1-Codex-mini |
|---|---|---|
| ARC-AGI-2 | 60.4% | — |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 13% | — |
| Thematic Generalization | 76.3% | — |
| LMArena Hard Prompts | 1484 | — |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LMCA | 46.5% | — |
| Epoch Capabilities Index | 152.24 | — |
| ForecastBench | 62 | — |
Math Not comparable
Claude Sonnet 4.6: 52.9 (#49), GPT-5.1-Codex-mini: —
| Benchmark | Claude Sonnet 4.6 | GPT-5.1-Codex-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| LMArena Math | 1462 | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Not comparable
Claude Sonnet 4.6: 51.7 (#65), GPT-5.1-Codex-mini: —
| Benchmark | Claude Sonnet 4.6 | GPT-5.1-Codex-mini |
|---|---|---|
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
| LMArena Expert | 1500 | — |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#68), GPT-5.1-Codex-mini: —
| Benchmark | Claude Sonnet 4.6 | GPT-5.1-Codex-mini |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Not comparable
Claude Sonnet 4.6: 54.4 (#41), GPT-5.1-Codex-mini: —
| Benchmark | Claude Sonnet 4.6 | GPT-5.1-Codex-mini |
|---|---|---|
| LMArena Non-English | 1440 | — |
| LMArena Chinese | 1491 | — |
| LMArena French | 1465 | — |
| LMArena German | 1428 | — |
| LMArena Japanese | 1420 | — |
| LMArena Korean | 1411 | — |
| LMArena Russian | 1440 | — |
| LMArena Spanish | 1464 | — |
Instruction Following Not comparable
Claude Sonnet 4.6: 77.4 (#25), GPT-5.1-Codex-mini: —
| Benchmark | Claude Sonnet 4.6 | GPT-5.1-Codex-mini |
|---|---|---|
| LMArena Instruction Following | 1475 | — |
Long Context Not comparable
Claude Sonnet 4.6: 45.3 (#44), GPT-5.1-Codex-mini: —
| Benchmark | Claude Sonnet 4.6 | GPT-5.1-Codex-mini |
|---|---|---|
| LMArena Longer Query | 1479 | — |
Writing & Preference Not comparable
Claude Sonnet 4.6: 70.2 (#22), GPT-5.1-Codex-mini: —
| Benchmark | Claude Sonnet 4.6 | GPT-5.1-Codex-mini |
|---|---|---|
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1435 | — |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
| LMArena Multi-Turn | 1464 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than GPT-5.1-Codex-mini?
Claude Sonnet 4.6 has enough public results to be ranked (#50); GPT-5.1-Codex-mini does not yet, so treat this comparison as directional.
Which is cheaper, Claude Sonnet 4.6 or GPT-5.1-Codex-mini?
GPT-5.1-Codex-mini is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.
Is Claude Sonnet 4.6 or GPT-5.1-Codex-mini better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 31.6 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 4.6 does, with 1M tokens against 400K.
How many benchmarks do Claude Sonnet 4.6 and GPT-5.1-Codex-mini share?
2 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and GPT-5.1-Codex-mini has 2.