# DeepSeek V4 Flash vs Olmo 3 32b Think

> DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 38.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-flash-vs-olmo-3-32b-think
- Last updated: 2026-10-11
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Olmo 3 32b Think in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 25.9.

## Snapshot

| | DeepSeek V4 Flash | Olmo 3 32b Think |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 53.6 | 38.7 |
| Rank | 35 | 183 |
| Context | 1M | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.60 | — |
| Weights | Open | Open |

## Coding

- DeepSeek V4 Flash: 47.9 (#59)
- Olmo 3 32b Think: 38.6 (#172)

| Benchmark | DeepSeek V4 Flash | Olmo 3 32b Think |
|---|---|---|
| LMArena Coding | 1457 | 1319 |
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| ALE-Bench | 1,306 | — |

## Reasoning

- DeepSeek V4 Flash: 53.7 (#30)
- Olmo 3 32b Think: 25.9 (#140)

| Benchmark | DeepSeek V4 Flash | Olmo 3 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1444 | 1302 |
| 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: 60.3 (#37)
- Olmo 3 32b Think: 36.5 (#165)

| Benchmark | DeepSeek V4 Flash | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | 1427 | 1316 |
| 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

- DeepSeek V4 Flash: 55.4 (#48)
- Olmo 3 32b Think: 35.0 (#190)

| Benchmark | DeepSeek V4 Flash | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | 1441 | 1273 |
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |

## Multilingual

- DeepSeek V4 Flash: 53.0 (#72)
- Olmo 3 32b Think: 41.2 (#210)

| Benchmark | DeepSeek V4 Flash | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | 1420 | 1255 |
| LMArena Chinese | 1468 | 1300 |
| LMArena French | 1439 | 1291 |
| LMArena German | 1418 | 1290 |
| LMArena Russian | 1428 | 1254 |
| LMArena Japanese | 1406 | — |
| LMArena Korean | 1384 | — |
| LMArena Spanish | 1436 | — |

## Instruction Following

- DeepSeek V4 Flash: 74.9 (#81)
- Olmo 3 32b Think: 67.2 (#198)

| Benchmark | DeepSeek V4 Flash | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | 1421 | 1275 |

## Long Context

- DeepSeek V4 Flash: 43.8 (#85)
- Olmo 3 32b Think: 39.4 (#182)

| Benchmark | DeepSeek V4 Flash | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | 1434 | 1296 |

## Writing & Preference

- DeepSeek V4 Flash: 63.8 (#61)
- Olmo 3 32b Think: 49.1 (#193)

| Benchmark | DeepSeek V4 Flash | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | 1432 | 1300 |
| LMArena Creative Writing | 1403 | 1256 |
| LMArena Multi-Turn | 1449 | 1290 |
| EQ-Bench Creative Writing | 1559 | — |

## FAQ

### Is DeepSeek V4 Flash better than Olmo 3 32b Think?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 38.7 on the Noometry Index.

### Is DeepSeek V4 Flash or Olmo 3 32b Think better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 38.6 in the Noometry coding category.

### How many benchmarks do DeepSeek V4 Flash and Olmo 3 32b Think share?

14 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Olmo 3 32b Think has 14.