Model comparison
DeepSeek V4 Flash vs GPT-5.5 Instant
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 42.7 on the Noometry Index.
Last verified . 25 shared benchmarks.
Summary
- They share 25 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and GPT-5.5 Instant in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4 Flash leads 60.3 to 26.5.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 57.5% for DeepSeek V4 Flash and 26.3% for GPT-5.5 Instant.
- DeepSeek V4 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Flash | GPT-5.5 Instant | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 53.6 | 42.7 |
| Released | 2026-04-24 | 2026-05-05 |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 41 | 27 |
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Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.9 (#59), GPT-5.5 Instant: 44.3 (#74)
| Benchmark | DeepSeek V4 Flash | GPT-5.5 Instant |
|---|---|---|
| SciCode | 49.9% | 48.6% |
| LMArena Coding | 1457 | 1433 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| WeirdML | 63% | — |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), GPT-5.5 Instant: 24.9 (#155)
| Benchmark | DeepSeek V4 Flash | GPT-5.5 Instant |
|---|---|---|
| CritPt | 16.6% | 0% |
| Chess Puzzles | 33% | 12% |
| LMArena Hard Prompts | 1444 | 1426 |
| Epoch Capabilities Index | 154.49 | 142.52 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | 89% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 90.9% | — |
| LMCA | 41.7% | — |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.3 (#37), GPT-5.5 Instant: 26.5 (#259)
| Benchmark | DeepSeek V4 Flash | GPT-5.5 Instant |
|---|---|---|
| FrontierMath (Tiers 1-3) | 57.5% | 26.3% |
| FrontierMath Tier 4 | 24.4% | 2.4% |
| OTIS Mock AIME 2024-2025 | 94.4% | 68.1% |
| LMArena Math | 1427 | 1420 |
| MathArena Final-Answer Competitions | 76.5% | — |
| ProofBench | 56% | — |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.4 (#48), GPT-5.5 Instant: 48.9 (#74)
| Benchmark | DeepSeek V4 Flash | GPT-5.5 Instant |
|---|---|---|
| GPQA Diamond | 91% | 82.5% |
| LMArena Expert | 1441 | 1409 |
| SimpleQA Verified | 33.6% | — |
Multimodal Not comparable
DeepSeek V4 Flash: —, GPT-5.5 Instant: 40.0 (#52)
| Benchmark | DeepSeek V4 Flash | GPT-5.5 Instant |
|---|---|---|
| LMArena Vision | — | 1250 |
| LMArena Document | — | 1403 |
Multilingual Too close to call
DeepSeek V4 Flash: 53.0 (#72), GPT-5.5 Instant: 52.8 (#80)
| Benchmark | DeepSeek V4 Flash | GPT-5.5 Instant |
|---|---|---|
| LMArena Non-English | 1420 | 1417 |
| LMArena Chinese | 1468 | 1456 |
| LMArena French | 1439 | 1428 |
| LMArena German | 1418 | 1411 |
| LMArena Japanese | 1406 | 1408 |
| LMArena Korean | 1384 | 1392 |
| LMArena Russian | 1428 | 1431 |
| LMArena Spanish | 1436 | 1429 |
Instruction Following Too close to call
DeepSeek V4 Flash: 74.9 (#81), GPT-5.5 Instant: 74.2 (#100)
| Benchmark | DeepSeek V4 Flash | GPT-5.5 Instant |
|---|---|---|
| LMArena Instruction Following | 1421 | 1406 |
Long Context Too close to call
DeepSeek V4 Flash: 43.8 (#85), GPT-5.5 Instant: 43.4 (#96)
| Benchmark | DeepSeek V4 Flash | GPT-5.5 Instant |
|---|---|---|
| LMArena Longer Query | 1434 | 1422 |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 63.8 (#61), GPT-5.5 Instant: 61.8 (#85)
| Benchmark | DeepSeek V4 Flash | GPT-5.5 Instant |
|---|---|---|
| LMArena Text | 1432 | 1419 |
| LMArena Creative Writing | 1403 | 1419 |
| LMArena Multi-Turn | 1449 | 1433 |
| EQ-Bench Creative Writing | 1559 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than GPT-5.5 Instant?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 42.7 on the Noometry Index.
Is DeepSeek V4 Flash or GPT-5.5 Instant better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 44.3 in the Noometry coding category.
How many benchmarks do DeepSeek V4 Flash and GPT-5.5 Instant share?
25 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and GPT-5.5 Instant has 27.