Model comparison
DeepSeek V4 Flash vs Olmo 7b Instruct
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 30.3 on the Noometry Index.
Last verified . 10 shared benchmarks.
Summary
- They share 10 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 6 categories and Olmo 7b Instruct in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek V4 Flash leads 63.8 to 25.8.
Side by side
| DeepSeek V4 Flash | Olmo 7b Instruct | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 53.6 | 30.3 |
| Released | 2026-04-24 | — |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 41 | 10 |
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Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.9 (#59), Olmo 7b Instruct: 29.6 (#303)
| Benchmark | DeepSeek V4 Flash | Olmo 7b Instruct |
|---|---|---|
| LMArena Coding | 1457 | 1016 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Olmo 7b Instruct: 18.8 (#274)
| Benchmark | DeepSeek V4 Flash | Olmo 7b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1444 | 993 |
| ARC-AGI-2 | 61.4% | — |
| SimpleBench | 61.1% | — |
| Kagi LLM Benchmark | 52.2% | — |
| NYT Connections (extended) | 89.6% | — |
| ARC-AGI-1 | 89% | — |
| CritPt | 16.6% | — |
| Chess Puzzles | 33% | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 90.9% | — |
| LMCA | 41.7% | — |
| Epoch Capabilities Index | 154.49 | — |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.3 (#37), Olmo 7b Instruct: 30.2 (#237)
| Benchmark | DeepSeek V4 Flash | Olmo 7b Instruct |
|---|---|---|
| LMArena Math | 1427 | 1018 |
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| OTIS Mock AIME 2024-2025 | 94.4% | — |
| ProofBench | 56% | — |
Knowledge Not comparable
DeepSeek V4 Flash: 55.4 (#48), Olmo 7b Instruct: —
| Benchmark | DeepSeek V4 Flash | Olmo 7b Instruct |
|---|---|---|
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
| LMArena Expert | 1441 | — |
Multilingual DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.0 (#72), Olmo 7b Instruct: 24.0 (#291)
| Benchmark | DeepSeek V4 Flash | Olmo 7b Instruct |
|---|---|---|
| LMArena Non-English | 1420 | 977 |
| LMArena Chinese | 1468 | 1014 |
| LMArena Russian | 1428 | 947 |
| LMArena French | 1439 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1406 | — |
| LMArena Korean | 1384 | — |
| LMArena Spanish | 1436 | — |
Instruction Following DeepSeek V4 Flash leads
DeepSeek V4 Flash: 74.9 (#81), Olmo 7b Instruct: 49.0 (#301)
| Benchmark | DeepSeek V4 Flash | Olmo 7b Instruct |
|---|---|---|
| LMArena Instruction Following | 1421 | 978 |
Long Context Not comparable
DeepSeek V4 Flash: 43.8 (#85), Olmo 7b Instruct: —
| Benchmark | DeepSeek V4 Flash | Olmo 7b Instruct |
|---|---|---|
| LMArena Longer Query | 1434 | — |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 63.8 (#61), Olmo 7b Instruct: 25.8 (#303)
| Benchmark | DeepSeek V4 Flash | Olmo 7b Instruct |
|---|---|---|
| LMArena Text | 1432 | 1032 |
| LMArena Creative Writing | 1403 | 990 |
| LMArena Multi-Turn | 1449 | 1007 |
| EQ-Bench Creative Writing | 1559 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than Olmo 7b Instruct?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 30.3 on the Noometry Index.
Is DeepSeek V4 Flash or Olmo 7b Instruct better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 29.6 in the Noometry coding category.
How many benchmarks do DeepSeek V4 Flash and Olmo 7b Instruct share?
10 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Olmo 7b Instruct has 10.