Model comparison
DeepSeek V4 Pro vs GPT-5.1-Codex-mini
DeepSeek V4 Pro has enough public results to be ranked (#31); GPT-5.1-Codex-mini does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
DeepSeekSummary
- They share 1 benchmark with published results for both. DeepSeek V4 Pro scores higher in 1 category and GPT-5.1-Codex-mini in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where DeepSeek V4 Pro leads 52.4 to 31.6.
- GPT-5.1-Codex-mini is cheaper at $0.25 / $2 per million input/output tokens, against $0.66 / $1.98 for DeepSeek V4 Pro.
- DeepSeek V4 Pro accepts more context: 1M tokens versus 400K.
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Pro | GPT-5.1-Codex-mini | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 54.3 | 37.3 |
| Released | 2026-04-24 | 2025-11-12 |
| Weights | Open | Proprietary |
| Context window | 1M | 400K |
| Max output | 393K | 128K |
| Input $ / M tokens | $0.66 | $0.25 |
| Output $ / M tokens | $1.98 | $2 |
| Results tracked | 48 | 2 |
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Category by category
Coding DeepSeek V4 Pro leads
DeepSeek V4 Pro: 52.4 (#34), GPT-5.1-Codex-mini: 31.6
| Benchmark | DeepSeek V4 Pro | GPT-5.1-Codex-mini |
|---|---|---|
| LMArena WebDev | 1582 | 1244 |
| SWE-bench Verified | 77.6% | — |
| FrontierCode | 28.6% | — |
| SciCode | 51% | — |
| WeirdML | 66.2% | — |
| LMArena Coding | 1470 | — |
| ALE-Bench | 1,403 | — |
Agentic & Tool Use GPT-5.1-Codex-mini leads
DeepSeek V4 Pro: 32.8 (#58), GPT-5.1-Codex-mini: 38.5
| Benchmark | DeepSeek V4 Pro | GPT-5.1-Codex-mini |
|---|---|---|
| Terminal-Bench | — | 61.6% |
| APEX-Agents | 47.3% | — |
| Vending-Bench 2 | 3,285 | — |
Reasoning Not comparable
DeepSeek V4 Pro: 56.5 (#24), GPT-5.1-Codex-mini: —
| Benchmark | DeepSeek V4 Pro | GPT-5.1-Codex-mini |
|---|---|---|
| ARC-AGI-2 | 61.3% | — |
| Kagi LLM Benchmark | 53.5% | — |
| NYT Connections (extended) | 91.3% | — |
| ARC-AGI-1 | 90.5% | — |
| CritPt | 18% | — |
| Chess Puzzles | 47% | — |
| LMArena Hard Prompts | 1461 | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 93.9% | — |
| LMCA | 45.5% | — |
| Surface Evolver Bench | 40% | — |
| Epoch Capabilities Index | 155.31 | — |
| ForecastBench | 56.1 | — |
Math Not comparable
DeepSeek V4 Pro: 64.8 (#30), GPT-5.1-Codex-mini: —
| Benchmark | DeepSeek V4 Pro | GPT-5.1-Codex-mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 64.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.6% | — |
| OTIS Mock AIME 2024-2025 | 98.6% | — |
| ProofBench | 50% | — |
| LMArena Math | 1455 | — |
Knowledge Not comparable
DeepSeek V4 Pro: 59.5 (#31), GPT-5.1-Codex-mini: —
| Benchmark | DeepSeek V4 Pro | GPT-5.1-Codex-mini |
|---|---|---|
| GPQA Diamond | 91.7% | — |
| SimpleQA Verified | 52.9% | — |
| Vectara Hallucination Rate | 8.6% | — |
| LMArena Expert | 1464 | — |
Multilingual Not comparable
DeepSeek V4 Pro: 54.4 (#45), GPT-5.1-Codex-mini: —
| Benchmark | DeepSeek V4 Pro | GPT-5.1-Codex-mini |
|---|---|---|
| LMArena Non-English | 1439 | — |
| LMArena Chinese | 1486 | — |
| LMArena French | 1472 | — |
| LMArena German | 1458 | — |
| LMArena Japanese | 1445 | — |
| LMArena Korean | 1447 | — |
| LMArena Russian | 1453 | — |
| LMArena Spanish | 1458 | — |
Instruction Following Not comparable
DeepSeek V4 Pro: 76.1 (#47), GPT-5.1-Codex-mini: —
| Benchmark | DeepSeek V4 Pro | GPT-5.1-Codex-mini |
|---|---|---|
| LMArena Instruction Following | 1448 | — |
Long Context Not comparable
DeepSeek V4 Pro: 45.0 (#51), GPT-5.1-Codex-mini: —
| Benchmark | DeepSeek V4 Pro | GPT-5.1-Codex-mini |
|---|---|---|
| CL-bench Life | 13.5% | — |
| LMArena Longer Query | 1458 | — |
Writing & Preference Not comparable
DeepSeek V4 Pro: 65.5 (#46), GPT-5.1-Codex-mini: —
| Benchmark | DeepSeek V4 Pro | GPT-5.1-Codex-mini |
|---|---|---|
| LMArena Text | 1451 | — |
| LMArena Creative Writing | 1446 | — |
| EQ-Bench Creative Writing | 1553 | — |
| EQ-Bench 4 | 1166 | — |
| LMArena Multi-Turn | 1467 | — |
Frequently asked questions
Is DeepSeek V4 Pro better than GPT-5.1-Codex-mini?
DeepSeek V4 Pro has enough public results to be ranked (#31); GPT-5.1-Codex-mini does not yet, so treat this comparison as directional.
Which is cheaper, DeepSeek V4 Pro 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; DeepSeek V4 Pro lists at $0.66 and $1.98.
Is DeepSeek V4 Pro or GPT-5.1-Codex-mini better for coding?
DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 31.6 in the Noometry coding category.
Which has the bigger context window?
DeepSeek V4 Pro does, with 1M tokens against 400K.
How many benchmarks do DeepSeek V4 Pro and GPT-5.1-Codex-mini share?
1 benchmark has published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and GPT-5.1-Codex-mini has 2.