Model comparison
DeepSeek V4 Flash vs Llama 2-34B
DeepSeek V4 Flash has enough public results to be ranked (#32); Llama 2-34B does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
DeepSeek
MetaSummary
- They share 1 benchmark with published results for both.
- DeepSeek V4 Flash has downloadable open weights; the other is API-only.
Side by side
| DeepSeek V4 Flash | Llama 2-34B | |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 53.6 | — |
| Released | 2026-04-24 | 2023-07-18 |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 393K | — |
| Input $ / M tokens | $0.15 | — |
| Output $ / M tokens | $0.60 | — |
| Results tracked | 41 | 10 |
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Category by category
Coding Not comparable
DeepSeek V4 Flash: 47.6 (#56), Llama 2-34B: —
| Benchmark | DeepSeek V4 Flash | Llama 2-34B |
|---|---|---|
| FrontierCode | 18.8% | — |
| LMArena WebDev | 1581 | — |
| SciCode | 49.9% | — |
| WeirdML | 63% | — |
| LMArena Coding | 1457 | — |
| ALE-Bench | 1,306 | — |
Reasoning Not comparable
DeepSeek V4 Flash: 53.7 (#25), Llama 2-34B: —
| Benchmark | DeepSeek V4 Flash | Llama 2-34B |
|---|---|---|
| Epoch Capabilities Index | 154.51 | 104.81 |
| 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% | — |
| LMArena Hard Prompts | 1443 | — |
| Mystery Game Puzzles | 34% | — |
| DTBench | 90.9% | — |
| LMCA | 41.7% | — |
| BIG-Bench Hard | — | 44.1% |
| PIQA | — | 81.9% |
| WinoGrande | — | 76.7% |
Math Not comparable
DeepSeek V4 Flash: 60.0 (#31), Llama 2-34B: —
| Benchmark | DeepSeek V4 Flash | Llama 2-34B |
|---|---|---|
| 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 | — |
| GSM8K | — | 42.2% |
Knowledge Not comparable
DeepSeek V4 Flash: 55.5 (#43), Llama 2-34B: —
| Benchmark | DeepSeek V4 Flash | Llama 2-34B |
|---|---|---|
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 33.6% | — |
| LMArena Expert | 1441 | — |
| ARC (AI2) Challenge | — | 54.5% |
| BoolQ | — | 83.7% |
| MMLU | — | 62.6% |
| OpenBookQA | — | 58.2% |
| TriviaQA | — | 84.6% |
Multilingual Not comparable
DeepSeek V4 Flash: 53.2 (#71), Llama 2-34B: —
| Benchmark | DeepSeek V4 Flash | Llama 2-34B |
|---|---|---|
| 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 Not comparable
DeepSeek V4 Flash: 75.1 (#76), Llama 2-34B: —
| Benchmark | DeepSeek V4 Flash | Llama 2-34B |
|---|---|---|
| LMArena Instruction Following | 1421 | — |
Long Context Not comparable
DeepSeek V4 Flash: 43.8 (#81), Llama 2-34B: —
| Benchmark | DeepSeek V4 Flash | Llama 2-34B |
|---|---|---|
| LMArena Longer Query | 1435 | — |
Writing & Preference Not comparable
DeepSeek V4 Flash: 64.0 (#59), Llama 2-34B: —
| Benchmark | DeepSeek V4 Flash | Llama 2-34B |
|---|---|---|
| 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 2-34B?
DeepSeek V4 Flash has enough public results to be ranked (#32); Llama 2-34B does not yet, so treat this comparison as directional.
How many benchmarks do DeepSeek V4 Flash and Llama 2-34B share?
1 benchmark has published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Llama 2-34B has 10.