Model comparison
DeepSeek V4 Flash vs Llama 3.2 90B
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 27.5 on the Noometry Index.
Last verified . 3 shared benchmarks.
DeepSeek
MetaSummary
- They share 3 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 3 categories and Llama 3.2 90B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where DeepSeek V4 Flash leads 60.3 to 11.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.4% for DeepSeek V4 Flash and 2.6% for Llama 3.2 90B.
Side by side
| DeepSeek V4 Flash | Llama 3.2 90B | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 53.6 | 27.5 |
| Released | 2026-04-24 | 2024-09-24 |
| Weights | Open | Open |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 41 | 9 |
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Category by category
Coding Not comparable
DeepSeek V4 Flash: 47.9 (#59), Llama 3.2 90B: —
| Benchmark | DeepSeek V4 Flash | Llama 3.2 90B |
|---|---|---|
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1582 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| LMArena Coding | 1457 | — |
| ALE-Bench | 1,306 | — |
Agentic & Tool Use Not comparable
DeepSeek V4 Flash: —, Llama 3.2 90B: 30.0 (#80)
| Benchmark | DeepSeek V4 Flash | Llama 3.2 90B |
|---|---|---|
| BALROG | — | 27.3% |
Reasoning DeepSeek V4 Flash leads
DeepSeek V4 Flash: 53.7 (#30), Llama 3.2 90B: 21.7 (#217)
| Benchmark | DeepSeek V4 Flash | Llama 3.2 90B |
|---|---|---|
| Epoch Capabilities Index | 154.49 | 125.5 |
| 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% | — |
| EnigmaEval | — | 0.4% |
| LMArena Hard Prompts | 1444 | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 90.9% | — |
| LMCA | 41.7% | — |
Math DeepSeek V4 Flash leads
DeepSeek V4 Flash: 60.3 (#37), Llama 3.2 90B: 11.1 (#308)
| Benchmark | DeepSeek V4 Flash | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 94.4% | 2.6% |
| FrontierMath (Tiers 1-3) | 57.5% | — |
| FrontierMath Tier 4 | 24.4% | — |
| MathArena Final-Answer Competitions | 76.5% | — |
| ProofBench | 56% | — |
| LMArena Math | 1427 | — |
| MATH Level 5 | — | 39.4% |
Knowledge DeepSeek V4 Flash leads
DeepSeek V4 Flash: 55.4 (#48), Llama 3.2 90B: 21.7 (#274)
| Benchmark | DeepSeek V4 Flash | Llama 3.2 90B |
|---|---|---|
| GPQA Diamond | 91% | 41% |
| SimpleQA Verified | 33.6% | — |
| LMArena Expert | 1441 | — |
| MMLU | — | 80.3% |
Multimodal Not comparable
DeepSeek V4 Flash: —, Llama 3.2 90B: 25.4 (#124)
| Benchmark | DeepSeek V4 Flash | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | — | 1000 |
| GeoBench | — | 52% |
Multilingual Not comparable
DeepSeek V4 Flash: 53.0 (#72), Llama 3.2 90B: —
| Benchmark | DeepSeek V4 Flash | Llama 3.2 90B |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1468 | — |
| LMArena French | 1439 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1406 | — |
| LMArena Korean | 1384 | — |
| LMArena Russian | 1428 | — |
| LMArena Spanish | 1436 | — |
Instruction Following Not comparable
DeepSeek V4 Flash: 74.9 (#81), Llama 3.2 90B: —
| Benchmark | DeepSeek V4 Flash | Llama 3.2 90B |
|---|---|---|
| LMArena Instruction Following | 1421 | — |
Long Context Not comparable
DeepSeek V4 Flash: 43.8 (#85), Llama 3.2 90B: —
| Benchmark | DeepSeek V4 Flash | Llama 3.2 90B |
|---|---|---|
| LMArena Longer Query | 1434 | — |
Writing & Preference Not comparable
DeepSeek V4 Flash: 63.8 (#61), Llama 3.2 90B: —
| Benchmark | DeepSeek V4 Flash | Llama 3.2 90B |
|---|---|---|
| LMArena Text | 1432 | — |
| LMArena Creative Writing | 1403 | — |
| EQ-Bench Creative Writing | 1559 | — |
| LMArena Multi-Turn | 1449 | — |
Frequently asked questions
Is DeepSeek V4 Flash better than Llama 3.2 90B?
DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 27.5 on the Noometry Index.
How many benchmarks do DeepSeek V4 Flash and Llama 3.2 90B share?
3 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Llama 3.2 90B has 9.