Model comparison
DeepSeek LLM 67B vs DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 24.9 on the Noometry Index.
Last verified . 13 shared benchmarks.
DeepSeekSummary
- They share 13 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and DeepSeek V4.1 Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 8.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 98.3% for DeepSeek V4.1 Flash.
Side by side
| DeepSeek LLM 67B | DeepSeek V4.1 Flash | |
|---|---|---|
| Provider | DeepSeek | DeepSeek |
| Noometry Index | 24.9 | 52.8 |
| Released | 2023-11-29 | 2026-09-09 |
| Weights | Open | Open |
| Context window | — | 1M |
| Max output | — | 393K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.60 |
| Results tracked | 15 | 37 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek LLM 67B: 31.9 (#278), DeepSeek V4.1 Flash: 52.9 (#32)
| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Coding | 1096 | 1506 |
| LMArena WebDev | — | 1619 |
| SciCode | — | 51.9% |
| ALE-Bench | — | 1,092 |
Agentic & Tool Use Not comparable
DeepSeek LLM 67B: —, DeepSeek V4.1 Flash: 31.2 (#69)
| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| APEX-Agents | — | 39.5% |
| GDP.pdf | — | 19.8% |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek LLM 67B: 16.5 (#304), DeepSeek V4.1 Flash: 50.2 (#36)
| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Hard Prompts | 1070 | 1483 |
| Epoch Capabilities Index | 110.5 | 154.9 |
| NYT Connections (extended) | — | 89.6% |
| CritPt | — | 14.3% |
| Chess Puzzles | 0% | — |
| Mystery Game Puzzles | — | 43% |
| DTBench | — | 89.9% |
| LMCA | — | 47% |
| Surface Evolver Bench | — | 46.3% |
Math DeepSeek V4.1 Flash leads
DeepSeek LLM 67B: 8.7 (#324), DeepSeek V4.1 Flash: 66.7 (#25)
| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 98.3% |
| LMArena Math | 1108 | 1477 |
| FrontierMath (Tiers 1-3) | — | 67.4% |
| FrontierMath Tier 4 | — | 26.8% |
| ProofBench | — | 54% |
| MATH Level 5 | 6.4% | — |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek LLM 67B: 7.0 (#313), DeepSeek V4.1 Flash: 57.9 (#38)
| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| GPQA Diamond | 24.6% | 89.8% |
| LMArena Expert | — | 1506 |
Multimodal Not comparable
DeepSeek LLM 67B: —, DeepSeek V4.1 Flash: 39.1 (#61)
| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Vision | — | 1277 |
| Furniture Assembly | — | 34.2% |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek LLM 67B: 29.4 (#267), DeepSeek V4.1 Flash: 55.0 (#35)
| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Non-English | 1073 | 1448 |
| LMArena Chinese | 1132 | 1497 |
| LMArena French | — | 1452 |
| LMArena German | — | 1484 |
| LMArena Japanese | — | 1412 |
| LMArena Korean | — | 1452 |
| LMArena Russian | — | 1471 |
| LMArena Spanish | — | 1459 |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek LLM 67B: 55.4 (#277), DeepSeek V4.1 Flash: 77.3 (#26)
| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Instruction Following | 1079 | 1474 |
Long Context DeepSeek V4.1 Flash leads
DeepSeek LLM 67B: 33.1 (#265), DeepSeek V4.1 Flash: 45.2 (#47)
| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Longer Query | 1092 | 1475 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek LLM 67B: 31.6 (#282), DeepSeek V4.1 Flash: 65.4 (#48)
| Benchmark | DeepSeek LLM 67B | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Text | 1105 | 1462 |
| LMArena Creative Writing | 1067 | 1435 |
| LMArena Multi-Turn | 1082 | 1457 |
| EQ-Bench Creative Writing | — | 1540 |
Frequently asked questions
Is DeepSeek LLM 67B better than DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or DeepSeek V4.1 Flash better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 31.9 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and DeepSeek V4.1 Flash share?
13 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and DeepSeek V4.1 Flash has 37.