Model comparison
DeepSeek V4.1 Flash vs Olmo 2 0325 32b Instruct
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 32.2 on the Noometry Index.
Last verified . 11 shared benchmarks.
DeepSeek
Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Olmo 2 0325 32b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4.1 Flash leads 48.4 to 24.8.
Side by side
| DeepSeek V4.1 Flash | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 50.3 | 32.2 |
| Released | 2026-09-09 | — |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 25 | 16 |
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Category by category
Coding DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 52.8 (#29), Olmo 2 0325 32b Instruct: 34.6 (#222)
| Benchmark | DeepSeek V4.1 Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1511 | 1210 |
| LMArena WebDev | 1620 | — |
| SciCode | 51.9% | — |
| ALE-Bench | 1,092 | — |
Reasoning DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 46.2 (#39), Olmo 2 0325 32b Instruct: 22.6 (#174)
| Benchmark | DeepSeek V4.1 Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1485 | 1208 |
| NYT Connections (extended) | 89.6% | — |
| CritPt | 14.3% | — |
| DTBench | 89.9% | — |
| LMCA | 47% | — |
| Surface Evolver Bench | 46.3% | — |
| Epoch Capabilities Index | 155.01 | — |
Math DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 48.4 (#52), Olmo 2 0325 32b Instruct: 24.8 (#255)
| Benchmark | DeepSeek V4.1 Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Math | 1493 | 1208 |
| ProofBench | 54% | — |
| Omni-MATH | — | 16.1% |
Knowledge DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 41.6 (#97), Olmo 2 0325 32b Instruct: 19.2 (#274)
| Benchmark | DeepSeek V4.1 Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| MMLU-Pro | — | 41.4% |
| GPQA (HELM) | — | 28.7% |
| LMArena Expert | 1505 | — |
Multilingual DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 55.5 (#29), Olmo 2 0325 32b Instruct: 35.0 (#243)
| Benchmark | DeepSeek V4.1 Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1452 | 1160 |
| LMArena Chinese | 1506 | 1192 |
| LMArena Russian | 1473 | 1187 |
| LMArena French | 1448 | — |
| LMArena Spanish | 1499 | — |
Instruction Following DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 77.6 (#24), Olmo 2 0325 32b Instruct: 61.8 (#238)
| Benchmark | DeepSeek V4.1 Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1475 | 1186 |
| IFEval | — | 78% |
Long Context DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 45.2 (#46), Olmo 2 0325 32b Instruct: 36.2 (#229)
| Benchmark | DeepSeek V4.1 Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1476 | 1194 |
Writing & Preference DeepSeek V4.1 Flash leads
DeepSeek V4.1 Flash: 65.8 (#43), Olmo 2 0325 32b Instruct: 42.3 (#231)
| Benchmark | DeepSeek V4.1 Flash | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1465 | 1218 |
| LMArena Creative Writing | 1436 | 1199 |
| LMArena Multi-Turn | 1460 | 1221 |
| EQ-Bench Creative Writing | 1540 | — |
| WildBench | — | 73.4% |
Frequently asked questions
Is DeepSeek V4.1 Flash better than Olmo 2 0325 32b Instruct?
DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 32.2 on the Noometry Index.
Is DeepSeek V4.1 Flash or Olmo 2 0325 32b Instruct better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 34.6 in the Noometry coding category.
How many benchmarks do DeepSeek V4.1 Flash and Olmo 2 0325 32b Instruct share?
11 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.