Model comparison
Codellama 34b Instruct vs DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 30.8 on the Noometry Index.
Last verified . 10 shared benchmarks.
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DeepSeekSummary
- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and DeepSeek V4.1 Flash in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek V4.1 Flash leads 65.4 to 28.2.
Side by side
| Codellama 34b Instruct | DeepSeek V4.1 Flash | |
|---|---|---|
| Provider | Meta | DeepSeek |
| Noometry Index | 30.8 | 52.8 |
| Released | — | 2026-09-09 |
| Weights | Open | Open |
| Context window | — | 1M |
| Max output | — | 393K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.60 |
| Results tracked | 14 | 37 |
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Category by category
Coding DeepSeek V4.1 Flash leads
Codellama 34b Instruct: 28.5 (#314), DeepSeek V4.1 Flash: 52.9 (#32)
| Benchmark | Codellama 34b Instruct | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Coding | 1046 | 1506 |
| LMArena WebDev | — | 1619 |
| SciCode | — | 51.9% |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| ALE-Bench | — | 1,092 |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Agentic & Tool Use Not comparable
Codellama 34b Instruct: —, DeepSeek V4.1 Flash: 31.2 (#69)
| Benchmark | Codellama 34b Instruct | DeepSeek V4.1 Flash |
|---|---|---|
| APEX-Agents | — | 39.5% |
| GDP.pdf | — | 19.8% |
Reasoning DeepSeek V4.1 Flash leads
Codellama 34b Instruct: 19.6 (#255), DeepSeek V4.1 Flash: 50.2 (#36)
| Benchmark | Codellama 34b Instruct | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1483 |
| NYT Connections (extended) | — | 89.6% |
| CritPt | — | 14.3% |
| Mystery Game Puzzles | — | 43% |
| DTBench | — | 89.9% |
| LMCA | — | 47% |
| Surface Evolver Bench | — | 46.3% |
| Epoch Capabilities Index | — | 154.9 |
Math DeepSeek V4.1 Flash leads
Codellama 34b Instruct: 31.0 (#230), DeepSeek V4.1 Flash: 66.7 (#25)
| Benchmark | Codellama 34b Instruct | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Math | 1056 | 1477 |
| FrontierMath (Tiers 1-3) | — | 67.4% |
| FrontierMath Tier 4 | — | 26.8% |
| OTIS Mock AIME 2024-2025 | — | 98.3% |
| ProofBench | — | 54% |
Knowledge Not comparable
Codellama 34b Instruct: —, DeepSeek V4.1 Flash: 57.9 (#38)
| Benchmark | Codellama 34b Instruct | DeepSeek V4.1 Flash |
|---|---|---|
| GPQA Diamond | — | 89.8% |
| LMArena Expert | — | 1506 |
Multimodal Not comparable
Codellama 34b Instruct: —, DeepSeek V4.1 Flash: 39.1 (#61)
| Benchmark | Codellama 34b Instruct | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Vision | — | 1277 |
| Furniture Assembly | — | 34.2% |
Multilingual DeepSeek V4.1 Flash leads
Codellama 34b Instruct: 25.8 (#284), DeepSeek V4.1 Flash: 55.0 (#35)
| Benchmark | Codellama 34b Instruct | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Non-English | 1011 | 1448 |
| LMArena Chinese | 976 | 1497 |
| LMArena French | — | 1452 |
| LMArena German | — | 1484 |
| LMArena Japanese | — | 1412 |
| LMArena Korean | — | 1452 |
| LMArena Russian | — | 1471 |
| LMArena Spanish | — | 1459 |
Instruction Following DeepSeek V4.1 Flash leads
Codellama 34b Instruct: 52.2 (#291), DeepSeek V4.1 Flash: 77.3 (#26)
| Benchmark | Codellama 34b Instruct | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Instruction Following | 1028 | 1474 |
Long Context DeepSeek V4.1 Flash leads
Codellama 34b Instruct: 30.9 (#284), DeepSeek V4.1 Flash: 45.2 (#47)
| Benchmark | Codellama 34b Instruct | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Longer Query | 1013 | 1475 |
Writing & Preference DeepSeek V4.1 Flash leads
Codellama 34b Instruct: 28.2 (#297), DeepSeek V4.1 Flash: 65.4 (#48)
| Benchmark | Codellama 34b Instruct | DeepSeek V4.1 Flash |
|---|---|---|
| LMArena Text | 1066 | 1462 |
| LMArena Creative Writing | 1032 | 1435 |
| LMArena Multi-Turn | 1015 | 1457 |
| EQ-Bench Creative Writing | — | 1540 |
Frequently asked questions
Is Codellama 34b Instruct better than DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or DeepSeek V4.1 Flash better for coding?
DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and DeepSeek V4.1 Flash share?
10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and DeepSeek V4.1 Flash has 37.