Model comparison
DeepSeek V4 Flash vs Molmo 2 8b
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 39.1 on the Noometry Index.
Last verified . 4 shared benchmarks.
Summary
- They share 4 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 4 categories and Molmo 2 8b in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 25.6.
Side by side
| DeepSeek V4 Flash | Molmo 2 8b | |
|---|---|---|
| Provider | DeepSeek | Allen Institute for AI (Ai2) |
| Noometry Index | 53.6 | 39.1 |
| 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 | 5 |
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Category by category
Coding Not comparable
DeepSeek V4 Flash: 47.9 (#59), Molmo 2 8b: —
| Benchmark | DeepSeek V4 Flash | Molmo 2 8b |
|---|---|---|
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| LMArena Coding | 1457 | — |
| ALE-Bench | 1,306 | — |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Molmo 2 8b: 25.6 (#146)
| Benchmark | DeepSeek V4 Flash | Molmo 2 8b |
|---|---|---|
| LMArena Hard Prompts | 1444 | 1287 |
| 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 Not comparable
DeepSeek V4 Flash: 60.3 (#37), Molmo 2 8b: —
| Benchmark | DeepSeek V4 Flash | Molmo 2 8b |
|---|---|---|
| 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% | — |
| LMArena Math | 1427 | — |
Knowledge Not comparable
DeepSeek V4 Flash: 55.4 (#48), Molmo 2 8b: —
| Benchmark | DeepSeek V4 Flash | Molmo 2 8b |
|---|---|---|
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
| LMArena Expert | 1441 | — |
Multimodal Not comparable
DeepSeek V4 Flash: —, Molmo 2 8b: 30.2 (#112)
| Benchmark | DeepSeek V4 Flash | Molmo 2 8b |
|---|---|---|
| LMArena Vision | — | 1081 |
Multilingual DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.0 (#72), Molmo 2 8b: 42.7 (#190)
| Benchmark | DeepSeek V4 Flash | Molmo 2 8b |
|---|---|---|
| LMArena Non-English | 1420 | 1276 |
| LMArena Chinese | 1468 | — |
| LMArena French | 1439 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1406 | — |
| LMArena Korean | 1384 | — |
| LMArena Russian | 1428 | — |
| LMArena Spanish | 1436 | — |
Instruction Following DeepSeek V4 Flash leads
DeepSeek V4 Flash: 74.9 (#81), Molmo 2 8b: 67.0 (#201)
| Benchmark | DeepSeek V4 Flash | Molmo 2 8b |
|---|---|---|
| LMArena Instruction Following | 1421 | 1270 |
Long Context Not comparable
DeepSeek V4 Flash: 43.8 (#85), Molmo 2 8b: —
| Benchmark | DeepSeek V4 Flash | Molmo 2 8b |
|---|---|---|
| LMArena Longer Query | 1434 | — |
Writing & Preference DeepSeek V4 Flash leads
DeepSeek V4 Flash: 63.8 (#61), Molmo 2 8b: 49.4 (#191)
| Benchmark | DeepSeek V4 Flash | Molmo 2 8b |
|---|---|---|
| LMArena Text | 1432 | 1288 |
| LMArena Creative Writing | 1403 | — |
| EQ-Bench Creative Writing | 1559 | — |
| LMArena Multi-Turn | 1449 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than Molmo 2 8b?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 39.1 on the Noometry Index.
How many benchmarks do DeepSeek V4 Flash and Molmo 2 8b share?
4 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Molmo 2 8b has 5.