Model comparison
DeepSeek V4.1 Flash vs GPT-5.2 Pro
DeepSeek V4.1 Flash and GPT-5.2 Pro score almost the same on the Noometry Index (52.8 vs 52.3), so choose on price, context window or the category you care about most.
Last verified . 4 shared benchmarks.
DeepSeekSummary
- They share 4 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 1 category and GPT-5.2 Pro in 1 category; 2 gaps are clear of the uncertainty.
- The biggest single-benchmark swing is FrontierMath Tier 4: 26.8% for DeepSeek V4.1 Flash and 46% for GPT-5.2 Pro.
- DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- DeepSeek V4.1 Flash accepts more context: 1M tokens versus 400K.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4.1 Flash | GPT-5.2 Pro | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 52.8 | 52.3 |
| Released | 2026-09-09 | 2025-12-11 |
| Weights | Open | Proprietary |
| Context window | 1M | 400K |
| Max output | 393K | 128K |
| Input $ / M tokens | $0.15 | $21 |
| Output $ / M tokens | $0.60 | $168 |
| Results tracked | 37 | 8 |
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Category by category
Coding Not comparable
DeepSeek V4.1 Flash: 52.9 (#32), GPT-5.2 Pro: —
| Benchmark | DeepSeek V4.1 Flash | GPT-5.2 Pro |
|---|---|---|
| LMArena WebDev | 1619 | — |
| SciCode | 51.9% | — |
| LMArena Coding | 1506 | — |
| ALE-Bench | 1,092 | — |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), GPT-5.2 Pro: —
| Benchmark | DeepSeek V4.1 Flash | GPT-5.2 Pro |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning GPT-5.2 Pro leads
DeepSeek V4.1 Flash: 50.2 (#36), GPT-5.2 Pro: 51.5 (#33)
| Benchmark | DeepSeek V4.1 Flash | GPT-5.2 Pro |
|---|---|---|
| NYT Connections (extended) | 89.6% | 79.3% |
| Epoch Capabilities Index | 154.9 | 155.4 |
| ARC-AGI-2 | — | 54.2% |
| SimpleBench | — | 57.4% |
| ARC-AGI-1 | — | 90.5% |
| CritPt | 14.3% | — |
| LMArena Hard Prompts | 1483 | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 66.7 (#25), GPT-5.2 Pro: 65.3 (#29)
| Benchmark | DeepSeek V4.1 Flash | GPT-5.2 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 67.4% | 74% |
| FrontierMath Tier 4 | 26.8% | 46% |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 54% | — |
| LMArena Math | 1477 | — |
| FrontierMath Tier 4 (v1) | — | 31.3% |
Knowledge Not comparable
DeepSeek V4.1 Flash: 57.9 (#38), GPT-5.2 Pro: —
| Benchmark | DeepSeek V4.1 Flash | GPT-5.2 Pro |
|---|---|---|
| GPQA Diamond | 89.8% | — |
| LMArena Expert | 1506 | — |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), GPT-5.2 Pro: —
| Benchmark | DeepSeek V4.1 Flash | GPT-5.2 Pro |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual Not comparable
DeepSeek V4.1 Flash: 55.0 (#35), GPT-5.2 Pro: —
| Benchmark | DeepSeek V4.1 Flash | GPT-5.2 Pro |
|---|---|---|
| LMArena Non-English | 1448 | — |
| LMArena Chinese | 1497 | — |
| LMArena French | 1452 | — |
| LMArena German | 1484 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1452 | — |
| LMArena Russian | 1471 | — |
| LMArena Spanish | 1459 | — |
Instruction Following Not comparable
DeepSeek V4.1 Flash: 77.3 (#26), GPT-5.2 Pro: —
| Benchmark | DeepSeek V4.1 Flash | GPT-5.2 Pro |
|---|---|---|
| LMArena Instruction Following | 1474 | — |
Long Context Not comparable
DeepSeek V4.1 Flash: 45.2 (#47), GPT-5.2 Pro: —
| Benchmark | DeepSeek V4.1 Flash | GPT-5.2 Pro |
|---|---|---|
| LMArena Longer Query | 1475 | — |
Writing & Preference Not comparable
DeepSeek V4.1 Flash: 65.4 (#48), GPT-5.2 Pro: —
| Benchmark | DeepSeek V4.1 Flash | GPT-5.2 Pro |
|---|---|---|
| LMArena Text | 1462 | — |
| LMArena Creative Writing | 1435 | — |
| EQ-Bench Creative Writing | 1540 | — |
| LMArena Multi-Turn | 1457 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than GPT-5.2 Pro?
DeepSeek V4.1 Flash and GPT-5.2 Pro score almost the same on the Noometry Index (52.8 vs 52.3), so choose on price, context window or the category you care about most.
Which is cheaper, DeepSeek V4.1 Flash or GPT-5.2 Pro?
DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GPT-5.2 Pro lists at $21 and $168.
Which has the bigger context window?
DeepSeek V4.1 Flash does, with 1M tokens against 400K.
How many benchmarks do DeepSeek V4.1 Flash and GPT-5.2 Pro share?
4 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and GPT-5.2 Pro has 8.