Model comparison
DeepSeek V4 Flash vs OLMo 2 Furious 13B
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 29.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
Allen Institute for AI (Ai2)Summary
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 14.8.
Side by side
| DeepSeek V4 Flash | OLMo 2 Furious 13B | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 53.6 | 29.2 |
| Released | 2026-04-24 | 2024-12-31 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 41 | 12 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding DeepSeek V4 Flash leads
DeepSeek V4 Flash: 47.6 (#56), OLMo 2 Furious 13B: 28.1 (#309)
| Benchmark | DeepSeek V4 Flash | OLMo 2 Furious 13B |
|---|---|---|
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1581 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| LiveBench Coding | — | 10.4% |
| LMArena Coding | 1457 | — |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#25), OLMo 2 Furious 13B: 14.8 (#312)
| Benchmark | DeepSeek V4 Flash | OLMo 2 Furious 13B |
|---|---|---|
| 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% | — |
| LiveBench Reasoning | — | 16.3% |
| LMArena Hard Prompts | 1443 | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 90.9% | — |
| LiveBench Data Analysis | — | 20.6% |
| LMCA | 41.7% | — |
| Epoch Capabilities Index | 154.51 | — |
| LiveBench | — | 22.1% |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.0 (#31), OLMo 2 Furious 13B: 21.3 (#270)
| Benchmark | DeepSeek V4 Flash | OLMo 2 Furious 13B |
|---|---|---|
| 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% | — |
| Omni-MATH | — | 15.6% |
| LiveBench Math | — | 13.6% |
| LMArena Math | 1427 | — |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.5 (#43), OLMo 2 Furious 13B: 18.0 (#278)
| Benchmark | DeepSeek V4 Flash | OLMo 2 Furious 13B |
|---|---|---|
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
| MMLU-Pro | — | 31% |
| GPQA (HELM) | — | 31.6% |
| LMArena Expert | 1441 | — |
Multilingual Not comparable
DeepSeek V4 Flash: 53.2 (#71), OLMo 2 Furious 13B: —
| Benchmark | DeepSeek V4 Flash | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1467 | — |
| LMArena French | 1438 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1403 | — |
| LMArena Korean | 1383 | — |
| LMArena Russian | 1428 | — |
| LMArena Spanish | 1437 | — |
Instruction Following DeepSeek V4 Flash leads
DeepSeek V4 Flash: 75.1 (#76), OLMo 2 Furious 13B: 61.1 (#243)
| Benchmark | DeepSeek V4 Flash | OLMo 2 Furious 13B |
|---|---|---|
| LiveBench Instruction Following | — | 60.6% |
| IFEval | — | 73% |
| LMArena Instruction Following | 1421 | — |
Long Context Not comparable
DeepSeek V4 Flash: 43.8 (#81), OLMo 2 Furious 13B: —
| Benchmark | DeepSeek V4 Flash | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Longer Query | 1435 | — |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 64.0 (#59), OLMo 2 Furious 13B: 43.0 (#226)
| Benchmark | DeepSeek V4 Flash | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Text | 1432 | — |
| LMArena Creative Writing | 1403 | — |
| EQ-Bench Creative Writing | 1559 | — |
| WildBench | — | 68.9% |
| LMArena Multi-Turn | 1449 | — |
| LiveBench Language | — | 11.2% |
Frequently asked questions
Is DeepSeek V4 Flash better than OLMo 2 Furious 13B?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 29.2 on the Noometry Index.
Is DeepSeek V4 Flash or OLMo 2 Furious 13B better for coding?
DeepSeek V4 Flash scores higher on coding benchmarks: 47.6 versus 28.1 in the Noometry coding category.
How many benchmarks do DeepSeek V4 Flash and OLMo 2 Furious 13B share?
0 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and OLMo 2 Furious 13B has 12.