Model comparison
Codellama 70b Instruct vs DeepSeek V4 Pro
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 33.7 on the Noometry Index.
Last verified . 4 shared benchmarks.
Meta
DeepSeekSummary
- They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 0 categories and DeepSeek V4 Pro in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Pro leads 56.5 to 20.1.
Side by side
| Codellama 70b Instruct | DeepSeek V4 Pro | |
|---|---|---|
| Provider | Meta | DeepSeek |
| Noometry Index | 33.7 | 54.3 |
| Released | — | 2026-04-24 |
| Weights | Open | Open |
| Context window | — | 1M |
| Max output | — | 393K |
| Input $ / M tokens | — | $0.66 |
| Output $ / M tokens | — | $1.98 |
| Results tracked | 7 | 48 |
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Category by category
Coding DeepSeek V4 Pro leads
Codellama 70b Instruct: 37.6 (#193), DeepSeek V4 Pro: 52.4 (#34)
| Benchmark | Codellama 70b Instruct | DeepSeek V4 Pro |
|---|---|---|
| SWE-bench Verified | — | 77.6% |
| FrontierCode | — | 28.6% |
| LMArena WebDev | — | 1582 |
| SciCode | — | 51% |
| WeirdML | — | 66.2% |
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1470 |
| BigCodeBench Complete | 49.6% | — |
| ALE-Bench | — | 1,403 |
| HumanEval+ | 65.9% | — |
Agentic & Tool Use Not comparable
Codellama 70b Instruct: —, DeepSeek V4 Pro: 32.8 (#58)
| Benchmark | Codellama 70b Instruct | DeepSeek V4 Pro |
|---|---|---|
| APEX-Agents | — | 47.3% |
| Vending-Bench 2 | — | 3,285 |
Reasoning DeepSeek V4 Pro leads
Codellama 70b Instruct: 20.1 (#242), DeepSeek V4 Pro: 56.5 (#24)
| Benchmark | Codellama 70b Instruct | DeepSeek V4 Pro |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1461 |
| ARC-AGI-2 | — | 61.3% |
| Kagi LLM Benchmark | — | 53.5% |
| NYT Connections (extended) | — | 91.3% |
| ARC-AGI-1 | — | 90.5% |
| CritPt | — | 18% |
| Chess Puzzles | — | 47% |
| Mystery Game Puzzles | — | 43% |
| DTBench | — | 93.9% |
| LMCA | — | 45.5% |
| Surface Evolver Bench | — | 40% |
| Epoch Capabilities Index | — | 155.31 |
| ForecastBench | — | 56.1 |
Math Not comparable
Codellama 70b Instruct: —, DeepSeek V4 Pro: 64.8 (#30)
| Benchmark | Codellama 70b Instruct | DeepSeek V4 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 26.8% |
| MathArena Final-Answer Competitions | — | 76.6% |
| OTIS Mock AIME 2024-2025 | — | 98.6% |
| ProofBench | — | 50% |
| LMArena Math | — | 1455 |
Knowledge Not comparable
Codellama 70b Instruct: —, DeepSeek V4 Pro: 59.5 (#31)
| Benchmark | Codellama 70b Instruct | DeepSeek V4 Pro |
|---|---|---|
| GPQA Diamond | — | 91.7% |
| SimpleQA Verified | — | 52.9% |
| Vectara Hallucination Rate | — | 8.6% |
| LMArena Expert | — | 1464 |
Multilingual DeepSeek V4 Pro leads
Codellama 70b Instruct: 24.8 (#288), DeepSeek V4 Pro: 54.4 (#45)
| Benchmark | Codellama 70b Instruct | DeepSeek V4 Pro |
|---|---|---|
| LMArena Non-English | 992 | 1439 |
| LMArena Chinese | — | 1486 |
| LMArena French | — | 1472 |
| LMArena German | — | 1458 |
| LMArena Japanese | — | 1445 |
| LMArena Korean | — | 1447 |
| LMArena Russian | — | 1453 |
| LMArena Spanish | — | 1458 |
Instruction Following DeepSeek V4 Pro leads
Codellama 70b Instruct: 51.9 (#293), DeepSeek V4 Pro: 76.1 (#47)
| Benchmark | Codellama 70b Instruct | DeepSeek V4 Pro |
|---|---|---|
| LMArena Instruction Following | 1024 | 1448 |
Long Context Not comparable
Codellama 70b Instruct: —, DeepSeek V4 Pro: 45.0 (#51)
| Benchmark | Codellama 70b Instruct | DeepSeek V4 Pro |
|---|---|---|
| CL-bench Life | — | 13.5% |
| LMArena Longer Query | — | 1458 |
Writing & Preference DeepSeek V4 Pro leads
Codellama 70b Instruct: 33.4 (#277), DeepSeek V4 Pro: 65.5 (#46)
| Benchmark | Codellama 70b Instruct | DeepSeek V4 Pro |
|---|---|---|
| LMArena Text | 1057 | 1451 |
| LMArena Creative Writing | — | 1446 |
| EQ-Bench Creative Writing | — | 1553 |
| EQ-Bench 4 | — | 1166 |
| LMArena Multi-Turn | — | 1467 |
Frequently asked questions
Is Codellama 70b Instruct better than DeepSeek V4 Pro?
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 33.7 on the Noometry Index.
Is Codellama 70b Instruct or DeepSeek V4 Pro better for coding?
DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 37.6 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and DeepSeek V4 Pro share?
4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and DeepSeek V4 Pro has 48.