Model comparison
DeepSeek V4.1 Flash vs GPT-5.5 Pro
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 50.3 on the Noometry Index. DeepSeek V4.1 Flash costs 257× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Summary
- They share 4 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 0 categories and GPT-5.5 Pro in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 Pro leads 83.8 to 48.4.
- The biggest single-benchmark swing is CritPt: 14.3% for DeepSeek V4.1 Flash and 30.6% for GPT-5.5 Pro.
- DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 1M.
- DeepSeek V4.1 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4.1 Flash | GPT-5.5 Pro | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 50.3 | 64.3 |
| Released | 2026-09-09 | 2026-04-23 |
| Weights | Open | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 393K | 128K |
| Input $ / M tokens | $0.15 | $30 |
| Output $ / M tokens | $0.60 | $180 |
| Results tracked | 25 | 14 |
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Category by category
Coding Not comparable
DeepSeek V4.1 Flash: 52.8 (#29), GPT-5.5 Pro: —
| Benchmark | DeepSeek V4.1 Flash | GPT-5.5 Pro |
|---|---|---|
| LMArena WebDev | 1620 | — |
| SciCode | 51.9% | — |
| LMArena Coding | 1511 | — |
| ALE-Bench | 1,092 | — |
Reasoning GPT-5.5 Pro leads
DeepSeek V4.1 Flash: 46.2 (#39), GPT-5.5 Pro: 73.6 (#7)
| Benchmark | DeepSeek V4.1 Flash | GPT-5.5 Pro |
|---|---|---|
| CritPt | 14.3% | 30.6% |
| DTBench | 89.9% | 96% |
| LMCA | 47% | 53.9% |
| Epoch Capabilities Index | 155.01 | 162.45 |
| ARC-AGI-2 | — | 84.6% |
| SimpleBench | — | 76.9% |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | — | 96.5% |
| Chess Puzzles | — | 64% |
| LMArena Hard Prompts | 1485 | — |
| Surface Evolver Bench | 46.3% | — |
Math GPT-5.5 Pro leads
DeepSeek V4.1 Flash: 48.4 (#52), GPT-5.5 Pro: 83.8 (#8)
| Benchmark | DeepSeek V4.1 Flash | GPT-5.5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 87.7% |
| FrontierMath Tier 4 | — | 78% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | 54% | — |
| LMArena Math | 1493 | — |
| FrontierMath (Feb 2025 set) | — | 52.4% |
| FrontierMath Tier 4 (v1) | — | 39.6% |
Knowledge GPT-5.5 Pro leads
DeepSeek V4.1 Flash: 41.6 (#97), GPT-5.5 Pro: 64.2 (#17)
| Benchmark | DeepSeek V4.1 Flash | GPT-5.5 Pro |
|---|---|---|
| GPQA Diamond | — | 93.9% |
| LMArena Expert | 1505 | — |
Multilingual Not comparable
DeepSeek V4.1 Flash: 55.5 (#29), GPT-5.5 Pro: —
| Benchmark | DeepSeek V4.1 Flash | GPT-5.5 Pro |
|---|---|---|
| LMArena Non-English | 1452 | — |
| LMArena Chinese | 1506 | — |
| LMArena French | 1448 | — |
| LMArena Russian | 1473 | — |
| LMArena Spanish | 1499 | — |
Instruction Following Not comparable
DeepSeek V4.1 Flash: 77.6 (#24), GPT-5.5 Pro: —
| Benchmark | DeepSeek V4.1 Flash | GPT-5.5 Pro |
|---|---|---|
| LMArena Instruction Following | 1475 | — |
Long Context Not comparable
DeepSeek V4.1 Flash: 45.2 (#46), GPT-5.5 Pro: —
| Benchmark | DeepSeek V4.1 Flash | GPT-5.5 Pro |
|---|---|---|
| LMArena Longer Query | 1476 | — |
Writing & Preference Not comparable
DeepSeek V4.1 Flash: 65.8 (#43), GPT-5.5 Pro: —
| Benchmark | DeepSeek V4.1 Flash | GPT-5.5 Pro |
|---|---|---|
| LMArena Text | 1465 | — |
| LMArena Creative Writing | 1436 | — |
| EQ-Bench Creative Writing | 1540 | — |
| LMArena Multi-Turn | 1460 | — |
Frequently asked questions
Is DeepSeek V4.1 Flash better than GPT-5.5 Pro?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 50.3 on the Noometry Index. DeepSeek V4.1 Flash costs 257× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Which is cheaper, DeepSeek V4.1 Flash or GPT-5.5 Pro?
DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GPT-5.5 Pro lists at $30 and $180.
Which has the bigger context window?
GPT-5.5 Pro does, with 1.05M tokens against 1M.
How many benchmarks do DeepSeek V4.1 Flash and GPT-5.5 Pro share?
4 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and GPT-5.5 Pro has 14.