Model comparison
DeepSeek V4.1 Flash vs DeepSeek V4 Flash
DeepSeek V4.1 Flash and DeepSeek V4 Flash score almost the same on the Noometry Index (52.8 vs 53.6), so choose on price, context window or the category you care about most.
Last verified . 32 shared benchmarks.
DeepSeekSummary
- They share 32 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 7 categories and DeepSeek V4 Flash in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 60.3.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 67.4% for DeepSeek V4.1 Flash and 57.5% for DeepSeek V4 Flash.
- Both cost about the same: $0.15 input and $0.60 output per million tokens.
Side by side
| DeepSeek V4.1 Flash | DeepSeek V4 Flash | |
|---|---|---|
| Provider | DeepSeek | DeepSeek |
| Noometry Index | 52.8 | 53.6 |
| Released | 2026-09-09 | 2026-04-24 |
| Weights | Open | Open |
| Context window | 1M | 1M |
| Max output | 393K | 393K |
| Input $ / M tokens | $0.15 | $0.15 |
| Output $ / M tokens | $0.60 | $0.60 |
| Results tracked | 37 | 41 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.9 (#32), DeepSeek V4 Flash: 47.9 (#59)
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash |
|---|---|---|
| LMArena WebDev | 1619 | 1582 |
| SciCode | 51.9% | 49.9% |
| LMArena Coding | 1506 | 1457 |
| ALE-Bench | 1,092 | 1,306 |
| FrontierCode | — | 18.8% |
| WeirdML | — | 63% |
Agentic & Tool Use Not comparable
DeepSeek V4.1 Flash: 31.2 (#69), DeepSeek V4 Flash: —
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash |
|---|---|---|
| APEX-Agents | 39.5% | — |
| GDP.pdf | 19.8% | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4.1 Flash: 50.2 (#36), DeepSeek V4 Flash: 53.7 (#30)
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash |
|---|---|---|
| NYT Connections (extended) | 89.6% | 89.6% |
| CritPt | 14.3% | 16.6% |
| LMArena Hard Prompts | 1483 | 1444 |
| Mystery Game Puzzles | 43% | 34% |
| DTBench | 89.9% | 90.9% |
| LMCA | 47% | 41.7% |
| Epoch Capabilities Index | 154.9 | 154.49 |
| ARC-AGI-2 | — | 61.4% |
| SimpleBench | — | 61.1% |
| Kagi LLM Benchmark | — | 52.2% |
| ARC-AGI-1 | — | 89% |
| Chess Puzzles | — | 33% |
| Surface Evolver Bench | 46.3% | — |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 66.7 (#25), DeepSeek V4 Flash: 60.3 (#37)
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 67.4% | 57.5% |
| FrontierMath Tier 4 | 26.8% | 24.4% |
| OTIS Mock AIME 2024-2025 | 98.3% | 94.4% |
| ProofBench | 54% | 56% |
| LMArena Math | 1477 | 1427 |
| MathArena Final-Answer Competitions | — | 76.5% |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 57.9 (#38), DeepSeek V4 Flash: 55.4 (#48)
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash |
|---|---|---|
| GPQA Diamond | 89.8% | 91% |
| LMArena Expert | 1506 | 1441 |
| SimpleQA Verified | — | 33.6% |
Multimodal Not comparable
DeepSeek V4.1 Flash: 39.1 (#61), DeepSeek V4 Flash: —
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash |
|---|---|---|
| LMArena Vision | 1277 | — |
| Furniture Assembly | 34.2% | — |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.0 (#35), DeepSeek V4 Flash: 53.0 (#72)
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash |
|---|---|---|
| LMArena Non-English | 1448 | 1420 |
| LMArena Chinese | 1497 | 1468 |
| LMArena French | 1452 | 1439 |
| LMArena German | 1484 | 1418 |
| LMArena Japanese | 1412 | 1406 |
| LMArena Korean | 1452 | 1384 |
| LMArena Russian | 1471 | 1428 |
| LMArena Spanish | 1459 | 1436 |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.3 (#26), DeepSeek V4 Flash: 74.9 (#81)
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash |
|---|---|---|
| LMArena Instruction Following | 1474 | 1421 |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#47), DeepSeek V4 Flash: 43.8 (#85)
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash |
|---|---|---|
| LMArena Longer Query | 1475 | 1434 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.4 (#48), DeepSeek V4 Flash: 63.8 (#61)
| Benchmark | DeepSeek V4.1 Flash | DeepSeek V4 Flash |
|---|---|---|
| LMArena Text | 1462 | 1432 |
| LMArena Creative Writing | 1435 | 1403 |
| EQ-Bench Creative Writing | 1540 | 1559 |
| LMArena Multi-Turn | 1457 | 1449 |
Frequently asked questions
Is DeepSeek V4.1 Flash better than DeepSeek V4 Flash?
DeepSeek V4.1 Flash and DeepSeek V4 Flash score almost the same on the Noometry Index (52.8 vs 53.6), so choose on price, context window or the category you care about most.
Which is cheaper, DeepSeek V4.1 Flash or DeepSeek V4 Flash?
DeepSeek V4 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; DeepSeek V4.1 Flash lists at $0.15 and $0.60.
Is DeepSeek V4.1 Flash or DeepSeek V4 Flash better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 47.9 in the Noometry coding category.
Which has the bigger context window?
Both accept 1M tokens.
How many benchmarks do DeepSeek V4.1 Flash and DeepSeek V4 Flash share?
32 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and DeepSeek V4 Flash has 41.