Model comparison
DeepSeek V4 Pro vs GPT-4.1 mini
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 33.6 on the Noometry Index.
Last verified . 33 shared benchmarks.
DeepSeekSummary
- They share 33 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 8 categories and GPT-4.1 mini in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Pro leads 56.5 to 10.8.
- The biggest single-benchmark swing is ARC-AGI-1: 90.5% for DeepSeek V4 Pro and 3.5% for GPT-4.1 mini.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $0.66 / $1.98 for DeepSeek V4 Pro.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 1M.
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Pro | GPT-4.1 mini | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 54.3 | 33.6 |
| Released | 2026-04-24 | 2025-04-14 |
| Weights | Open | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 393K | 33K |
| Input $ / M tokens | $0.66 | $0.40 |
| Output $ / M tokens | $1.98 | $1.60 |
| Results tracked | 48 | 47 |
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Category by category
Coding DeepSeek V4 Pro leads
DeepSeek V4 Pro: 52.4 (#34), GPT-4.1 mini: 30.6 (#293)
| Benchmark | DeepSeek V4 Pro | GPT-4.1 mini |
|---|---|---|
| SciCode | 51% | 40.4% |
| WeirdML | 66.2% | 37.6% |
| LMArena Coding | 1470 | 1367 |
| SWE-bench Verified | 77.6% | — |
| FrontierCode | 28.6% | — |
| SWE-bench Verified (bash only) | — | 23.9% |
| Aider Polyglot | — | 32.4% |
| LMArena WebDev | 1582 | — |
| BigCodeBench Instruct | — | 48.9% |
| CadEval | — | 16% |
| ALE-Bench | 1,403 | — |
Agentic & Tool Use Too close to call
DeepSeek V4 Pro: 32.8 (#58), GPT-4.1 mini: 33.3 (#55)
| Benchmark | DeepSeek V4 Pro | GPT-4.1 mini |
|---|---|---|
| APEX-Agents | 47.3% | — |
| Berkeley Function Calling Leaderboard | — | 50.5% |
| Vending-Bench 2 | 3,285 | — |
Reasoning DeepSeek V4 Pro leads
DeepSeek V4 Pro: 56.5 (#24), GPT-4.1 mini: 10.8 (#340)
| Benchmark | DeepSeek V4 Pro | GPT-4.1 mini |
|---|---|---|
| ARC-AGI-2 | 61.3% | 0% |
| Kagi LLM Benchmark | 53.5% | 48.6% |
| ARC-AGI-1 | 90.5% | 3.5% |
| CritPt | 18% | 0% |
| Chess Puzzles | 47% | 7% |
| LMArena Hard Prompts | 1461 | 1349 |
| Mystery Game Puzzles | 43% | 7% |
| DTBench | 93.9% | 68.8% |
| LMCA | 45.5% | 21.1% |
| Epoch Capabilities Index | 155.31 | 135.01 |
| NYT Connections (extended) | 91.3% | — |
| Surface Evolver Bench | 40% | — |
| ForecastBench | 56.1 | — |
Math DeepSeek V4 Pro leads
DeepSeek V4 Pro: 64.8 (#30), GPT-4.1 mini: 24.1 (#270)
| Benchmark | DeepSeek V4 Pro | GPT-4.1 mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 64.6% | 6.7% |
| OTIS Mock AIME 2024-2025 | 98.6% | 44.7% |
| LMArena Math | 1455 | 1343 |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.6% | — |
| ProofBench | 50% | — |
| Omni-MATH | — | 49.1% |
| MATH Level 5 | — | 87.3% |
| FrontierMath (Feb 2025 set) | — | 4.5% |
Knowledge DeepSeek V4 Pro leads
DeepSeek V4 Pro: 59.5 (#31), GPT-4.1 mini: 34.7 (#194)
| Benchmark | DeepSeek V4 Pro | GPT-4.1 mini |
|---|---|---|
| GPQA Diamond | 91.7% | 65.8% |
| SimpleQA Verified | 52.9% | 12.7% |
| LMArena Expert | 1464 | 1338 |
| MMLU-Pro | — | 78.3% |
| Vectara Hallucination Rate | 8.6% | — |
| GPQA (HELM) | — | 61.4% |
Multimodal Not comparable
DeepSeek V4 Pro: —, GPT-4.1 mini: 35.8 (#82)
| Benchmark | DeepSeek V4 Pro | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | — | 1181 |
Multilingual DeepSeek V4 Pro leads
DeepSeek V4 Pro: 54.4 (#45), GPT-4.1 mini: 45.7 (#166)
| Benchmark | DeepSeek V4 Pro | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1439 | 1318 |
| LMArena Chinese | 1486 | 1329 |
| LMArena French | 1472 | 1358 |
| LMArena German | 1458 | 1351 |
| LMArena Japanese | 1445 | 1290 |
| LMArena Korean | 1447 | 1298 |
| LMArena Russian | 1453 | 1324 |
| LMArena Spanish | 1458 | 1319 |
Instruction Following DeepSeek V4 Pro leads
DeepSeek V4 Pro: 76.1 (#47), GPT-4.1 mini: 73.7 (#118)
| Benchmark | DeepSeek V4 Pro | GPT-4.1 mini |
|---|---|---|
| LMArena Instruction Following | 1448 | 1333 |
| IFEval | — | 90.4% |
Long Context DeepSeek V4 Pro leads
DeepSeek V4 Pro: 45.0 (#51), GPT-4.1 mini: 31.8 (#275)
| Benchmark | DeepSeek V4 Pro | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1458 | 1344 |
| Fiction.LiveBench | — | 44.4% |
| CL-bench Life | 13.5% | — |
Writing & Preference DeepSeek V4 Pro leads
DeepSeek V4 Pro: 65.5 (#46), GPT-4.1 mini: 48.6 (#199)
| Benchmark | DeepSeek V4 Pro | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1451 | 1340 |
| LMArena Creative Writing | 1446 | 1300 |
| EQ-Bench Creative Writing | 1553 | 1147 |
| LMArena Multi-Turn | 1467 | 1354 |
| WildBench | — | 83.8% |
| EQ-Bench 4 | 1166 | — |
Frequently asked questions
Is DeepSeek V4 Pro better than GPT-4.1 mini?
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 33.6 on the Noometry Index.
Which is cheaper, DeepSeek V4 Pro or GPT-4.1 mini?
GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; DeepSeek V4 Pro lists at $0.66 and $1.98.
Is DeepSeek V4 Pro or GPT-4.1 mini better for coding?
DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 30.6 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 1M.
How many benchmarks do DeepSeek V4 Pro and GPT-4.1 mini share?
33 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and GPT-4.1 mini has 47.