Model comparison
Claude Sonnet 4.5 vs Codellama 70b Instruct
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 33.7 on the Noometry Index.
Last verified . 4 shared benchmarks.
MetaSummary
- They share 4 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 5 categories and Codellama 70b Instruct in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Sonnet 4.5 leads 66.5 to 33.4.
- Codellama 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.5 | Codellama 70b Instruct | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 44.1 | 33.7 |
| Released | 2025-09-29 | — |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 73 | 7 |
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Category by category
Coding Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 47.3 (#61), Codellama 70b Instruct: 37.6 (#193)
| Benchmark | Claude Sonnet 4.5 | Codellama 70b Instruct |
|---|---|---|
| SWE-bench Verified | 71.3% | — |
| SWE-bench Verified (bash only) | 71.4% | — |
| LMArena WebDev | 1393 | — |
| SWE-bench Multilingual | 67% | — |
| SciCode | 44.7% | — |
| GSO | 14.7% | — |
| WeirdML | 47.7% | — |
| BigCodeBench Instruct | — | 40.7% |
| LMArena Coding | 1489 | — |
| BigCodeBench Complete | — | 49.6% |
| ALE-Bench | 796.15 | — |
| AlgoTune | 1.52 | — |
| HumanEval+ | — | 65.9% |
Agentic & Tool Use Not comparable
Claude Sonnet 4.5: 38.3 (#32), Codellama 70b Instruct: —
| Benchmark | Claude Sonnet 4.5 | Codellama 70b Instruct |
|---|---|---|
| Terminal-Bench | 46.5% | — |
| Berkeley Function Calling Leaderboard | 73.2% | — |
| GDPval | 42.5% | — |
| Remote Labor Index | 2.1% | — |
| τ²-bench Airline | 72% | — |
| τ²-bench Banking | 25.3% | — |
| τ²-bench Retail | 72.4% | — |
| τ²-bench Telecom | 84.9% | — |
| Cybench | 60% | — |
| DeepResearch Bench | 52.6% | — |
| OSWorld | 62.9% | — |
| LMArena Search | 1159 | — |
| METR Time Horizons | 67.4% | — |
| Vending-Bench 2 | 3,839 | — |
Reasoning Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 26.9 (#125), Codellama 70b Instruct: 20.1 (#242)
| Benchmark | Claude Sonnet 4.5 | Codellama 70b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1462 | 1052 |
| ARC-AGI-2 | 13.6% | — |
| SimpleBench | 54.3% | — |
| Kagi LLM Benchmark | 57.9% | — |
| NYT Connections (extended) | 37.3% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 6% | — |
| EBR-Bench | 2.4% | — |
| Mystery Game Puzzles | 17% | — |
| DTBench | 83.2% | — |
| LMCA | 38.8% | — |
| Epoch Capabilities Index | 146.84 | — |
| ForecastBench | 61.9 | — |
Math Not comparable
Claude Sonnet 4.5: 32.3 (#216), Codellama 70b Instruct: —
| Benchmark | Claude Sonnet 4.5 | Codellama 70b Instruct |
|---|---|---|
| FrontierMath (Tiers 1-3) | 23.9% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 77.8% | — |
| ProofBench | 19% | — |
| Omni-MATH | 55.3% | — |
| LMArena Math | 1449 | — |
| MATH Level 5 | 97.7% | — |
| FrontierMath (Feb 2025 set) | 15.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Not comparable
Claude Sonnet 4.5: 48.4 (#76), Codellama 70b Instruct: —
| Benchmark | Claude Sonnet 4.5 | Codellama 70b Instruct |
|---|---|---|
| GPQA Diamond | 82.3% | — |
| Humanity's Last Exam | 13.7% | — |
| SimpleQA Verified | 30.7% | — |
| MMLU-Pro | 86.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 68.6% | — |
| LMArena Expert | 1482 | — |
Multimodal Not comparable
Claude Sonnet 4.5: 34.8 (#89), Codellama 70b Instruct: —
| Benchmark | Claude Sonnet 4.5 | Codellama 70b Instruct |
|---|---|---|
| VPCT | 39.8% | — |
| LMArena Document | 1450 | — |
Multilingual Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 53.4 (#69), Codellama 70b Instruct: 24.8 (#288)
| Benchmark | Claude Sonnet 4.5 | Codellama 70b Instruct |
|---|---|---|
| LMArena Non-English | 1425 | 992 |
| LMArena Chinese | 1459 | — |
| LMArena French | 1458 | — |
| LMArena German | 1427 | — |
| LMArena Japanese | 1390 | — |
| LMArena Korean | 1403 | — |
| LMArena Russian | 1437 | — |
| LMArena Spanish | 1457 | — |
Instruction Following Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 75.0 (#78), Codellama 70b Instruct: 51.9 (#293)
| Benchmark | Claude Sonnet 4.5 | Codellama 70b Instruct |
|---|---|---|
| LMArena Instruction Following | 1459 | 1024 |
| IFEval | 85% | — |
Long Context Not comparable
Claude Sonnet 4.5: 45.2 (#46), Codellama 70b Instruct: —
| Benchmark | Claude Sonnet 4.5 | Codellama 70b Instruct |
|---|---|---|
| LMArena Longer Query | 1476 | — |
Writing & Preference Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 66.5 (#34), Codellama 70b Instruct: 33.4 (#277)
| Benchmark | Claude Sonnet 4.5 | Codellama 70b Instruct |
|---|---|---|
| LMArena Text | 1439 | 1057 |
| LMArena Creative Writing | 1442 | — |
| EQ-Bench Creative Writing | 1678 | — |
| WildBench | 85.4% | — |
| LMArena Multi-Turn | 1465 | — |
Frequently asked questions
Is Claude Sonnet 4.5 better than Codellama 70b Instruct?
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 33.7 on the Noometry Index.
Is Claude Sonnet 4.5 or Codellama 70b Instruct better for coding?
Claude Sonnet 4.5 scores higher on coding benchmarks: 47.3 versus 37.6 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4.5 and Codellama 70b Instruct share?
4 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Codellama 70b Instruct has 7.