# DeepSeek V4 Pro vs OLMo 2 Furious 13B

> DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 29.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-pro-vs-olmo-2-furious-13b
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in math, where DeepSeek V4 Pro leads 64.8 to 23.1.

## Snapshot

| | DeepSeek V4 Pro | OLMo 2 Furious 13B |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 54.3 | 29.7 |
| Rank | 31 | 304 |
| Context | 1M | — |
| Input $/M | $0.66 | — |
| Output $/M | $1.98 | — |
| Weights | Open | Open |

## Coding

- DeepSeek V4 Pro: 52.4 (#34)
- OLMo 2 Furious 13B: 28.6 (#313)

| Benchmark | DeepSeek V4 Pro | OLMo 2 Furious 13B |
|---|---|---|
| SWE-bench Verified | 77.6% | — |
| FrontierCode | 28.6% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 51% | — |
| WeirdML | 66.2% | — |
| LiveBench Coding | — | 10.4% |
| LMArena Coding | 1470 | — |
| ALE-Bench | 1,403 | — |

## Agentic & Tool Use

- DeepSeek V4 Pro: 32.8 (#58)
- OLMo 2 Furious 13B: —

| Benchmark | DeepSeek V4 Pro | OLMo 2 Furious 13B |
|---|---|---|
| APEX-Agents | 47.3% | — |
| Vending-Bench 2 | 3,285 | — |

## Reasoning

- DeepSeek V4 Pro: 56.5 (#24)
- OLMo 2 Furious 13B: 15.5 (#314)

| Benchmark | DeepSeek V4 Pro | OLMo 2 Furious 13B |
|---|---|---|
| ARC-AGI-2 | 61.3% | — |
| Kagi LLM Benchmark | 53.5% | — |
| NYT Connections (extended) | 91.3% | — |
| ARC-AGI-1 | 90.5% | — |
| CritPt | 18% | — |
| Chess Puzzles | 47% | — |
| LiveBench Reasoning | — | 16.3% |
| LMArena Hard Prompts | 1461 | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 93.9% | — |
| LiveBench Data Analysis | — | 20.6% |
| LMCA | 45.5% | — |
| Surface Evolver Bench | 40% | — |
| Epoch Capabilities Index | 155.31 | — |
| ForecastBench | 56.1 | — |
| LiveBench | — | 22.1% |

## Math

- DeepSeek V4 Pro: 64.8 (#30)
- OLMo 2 Furious 13B: 23.1 (#273)

| Benchmark | DeepSeek V4 Pro | OLMo 2 Furious 13B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 64.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.6% | — |
| OTIS Mock AIME 2024-2025 | 98.6% | — |
| ProofBench | 50% | — |
| Omni-MATH | — | 15.6% |
| LiveBench Math | — | 13.6% |
| LMArena Math | 1455 | — |

## Knowledge

- DeepSeek V4 Pro: 59.5 (#31)
- OLMo 2 Furious 13B: 18.3 (#283)

| Benchmark | DeepSeek V4 Pro | OLMo 2 Furious 13B |
|---|---|---|
| GPQA Diamond | 91.7% | — |
| SimpleQA Verified | 52.9% | — |
| MMLU-Pro | — | 31% |
| Vectara Hallucination Rate | 8.6% | — |
| GPQA (HELM) | — | 31.6% |
| LMArena Expert | 1464 | — |

## Multilingual

- DeepSeek V4 Pro: 54.4 (#45)
- OLMo 2 Furious 13B: —

| Benchmark | DeepSeek V4 Pro | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Non-English | 1439 | — |
| LMArena Chinese | 1486 | — |
| LMArena French | 1472 | — |
| LMArena German | 1458 | — |
| LMArena Japanese | 1445 | — |
| LMArena Korean | 1447 | — |
| LMArena Russian | 1453 | — |
| LMArena Spanish | 1458 | — |

## Instruction Following

- DeepSeek V4 Pro: 76.1 (#47)
- OLMo 2 Furious 13B: 60.9 (#248)

| Benchmark | DeepSeek V4 Pro | OLMo 2 Furious 13B |
|---|---|---|
| LiveBench Instruction Following | — | 60.6% |
| IFEval | — | 73% |
| LMArena Instruction Following | 1448 | — |

## Long Context

- DeepSeek V4 Pro: 45.0 (#51)
- OLMo 2 Furious 13B: —

| Benchmark | DeepSeek V4 Pro | OLMo 2 Furious 13B |
|---|---|---|
| CL-bench Life | 13.5% | — |
| LMArena Longer Query | 1458 | — |

## Writing & Preference

- DeepSeek V4 Pro: 65.5 (#46)
- OLMo 2 Furious 13B: 42.9 (#230)

| Benchmark | DeepSeek V4 Pro | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Text | 1451 | — |
| LMArena Creative Writing | 1446 | — |
| EQ-Bench Creative Writing | 1553 | — |
| WildBench | — | 68.9% |
| EQ-Bench 4 | 1166 | — |
| LMArena Multi-Turn | 1467 | — |
| LiveBench Language | — | 11.2% |

## FAQ

### Is DeepSeek V4 Pro better than OLMo 2 Furious 13B?

DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 29.7 on the Noometry Index.

### Is DeepSeek V4 Pro or OLMo 2 Furious 13B better for coding?

DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 28.6 in the Noometry coding category.

### How many benchmarks do DeepSeek V4 Pro and OLMo 2 Furious 13B share?

0 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and OLMo 2 Furious 13B has 12.