Model comparison
Claude Opus 4.8 vs Codellama 34b Instruct
Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 30.8 on the Noometry Index.
Last verified . 10 shared benchmarks.
MetaSummary
- They share 10 benchmarks with published results for both. Claude Opus 4.8 scores higher in 7 categories and Codellama 34b Instruct in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 4.8 leads 78.4 to 31.0.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.8 | Codellama 34b Instruct | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 60.7 | 30.8 |
| Released | 2026-05-28 | — |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $5 | — |
| Output $ / M tokens | $25 | — |
| Results tracked | 65 | 14 |
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Category by category
Coding Claude Opus 4.8 leads
Claude Opus 4.8: 59.9 (#12), Codellama 34b Instruct: 28.5 (#314)
| Benchmark | Claude Opus 4.8 | Codellama 34b Instruct |
|---|---|---|
| LMArena Coding | 1490 | 1046 |
| DeepSWE | 59% | — |
| FrontierCode | 46.5% | — |
| LMArena WebDev | 1556 | — |
| SciCode | 53.5% | — |
| GSO | 47.1% | — |
| WeirdML | 82.9% | — |
| BigCodeBench Instruct | — | 29% |
| BigCodeBench Complete | — | 37.1% |
| ALE-Bench | 1,564 | — |
| HumanEval+ | — | 43.9% |
| MBPP+ | — | 56.3% |
Agentic & Tool Use Not comparable
Claude Opus 4.8: 47.6 (#11), Codellama 34b Instruct: —
| Benchmark | Claude Opus 4.8 | Codellama 34b Instruct |
|---|---|---|
| APEX-Agents | 48.9% | — |
| OSWorld 2.0 | 20.6% | — |
| Remote Labor Index | 8.3% | — |
| τ²-bench Banking | 39.7% | — |
| DeepResearch Bench | 50.2% | — |
| PostTrainBench | 33.8% | — |
| GBAEval | 70.9% | — |
| GDP.pdf | 24% | — |
| LMArena Search | 1204 | — |
| Vending-Bench 2 | 5,787 | — |
Reasoning Claude Opus 4.8 leads
Claude Opus 4.8: 64.7 (#16), Codellama 34b Instruct: 19.6 (#255)
| Benchmark | Claude Opus 4.8 | Codellama 34b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1482 | 1032 |
| ARC-AGI-2 | 72.1% | — |
| SimpleBench | 64.8% | — |
| Kagi LLM Benchmark | 88.8% | — |
| NYT Connections (extended) | 91.1% | — |
| ARC-AGI-1 | 92.5% | — |
| CritPt | 20.9% | — |
| Chess Puzzles | 34% | — |
| EnigmaEval | 23.5% | — |
| EBR-Bench | 28.6% | — |
| Mystery Game Puzzles | 36% | — |
| DTBench | 94.9% | — |
| LMCA | 57.5% | — |
| Surface Evolver Bench | 87.5% | — |
| Bench to the Future 3 | 0.14 | — |
| Epoch Capabilities Index | 158.21 | — |
| ForecastBench | 59.9 | — |
Math Claude Opus 4.8 leads
Claude Opus 4.8: 78.4 (#13), Codellama 34b Instruct: 31.0 (#230)
| Benchmark | Claude Opus 4.8 | Codellama 34b Instruct |
|---|---|---|
| LMArena Math | 1487 | 1056 |
| FrontierMath (Tiers 1-3) | 80% | — |
| FrontierMath Tier 4 | 56.1% | — |
| MathArena Final-Answer Competitions | 91.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 69% | — |
| FrontierMath (Feb 2025 set) | 47.2% | — |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Not comparable
Claude Opus 4.8: 61.3 (#29), Codellama 34b Instruct: —
| Benchmark | Claude Opus 4.8 | Codellama 34b Instruct |
|---|---|---|
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 53% | — |
| LMArena Expert | 1502 | — |
Multimodal Not comparable
Claude Opus 4.8: 42.9 (#26), Codellama 34b Instruct: —
| Benchmark | Claude Opus 4.8 | Codellama 34b Instruct |
|---|---|---|
| LMArena Vision | 1294 | — |
| Blueprint-Bench 2 | 14.5% | — |
| Furniture Assembly | 42.5% | — |
| LMArena Document | 1475 | — |
Multilingual Claude Opus 4.8 leads
Claude Opus 4.8: 55.2 (#33), Codellama 34b Instruct: 25.8 (#284)
| Benchmark | Claude Opus 4.8 | Codellama 34b Instruct |
|---|---|---|
| LMArena Non-English | 1450 | 1011 |
| LMArena Chinese | 1507 | 976 |
| LMArena French | 1481 | — |
| LMArena German | 1472 | — |
| LMArena Japanese | 1440 | — |
| LMArena Korean | 1432 | — |
| LMArena Russian | 1474 | — |
| LMArena Spanish | 1466 | — |
Instruction Following Claude Opus 4.8 leads
Claude Opus 4.8: 77.4 (#24), Codellama 34b Instruct: 52.2 (#291)
| Benchmark | Claude Opus 4.8 | Codellama 34b Instruct |
|---|---|---|
| LMArena Instruction Following | 1476 | 1028 |
Long Context Claude Opus 4.8 leads
Claude Opus 4.8: 45.4 (#35), Codellama 34b Instruct: 30.9 (#284)
| Benchmark | Claude Opus 4.8 | Codellama 34b Instruct |
|---|---|---|
| LMArena Longer Query | 1483 | 1013 |
Writing & Preference Claude Opus 4.8 leads
Claude Opus 4.8: 72.0 (#16), Codellama 34b Instruct: 28.2 (#297)
| Benchmark | Claude Opus 4.8 | Codellama 34b Instruct |
|---|---|---|
| LMArena Text | 1461 | 1066 |
| LMArena Creative Writing | 1454 | 1032 |
| LMArena Multi-Turn | 1476 | 1015 |
| EQ-Bench Creative Writing | 1840 | — |
| EQ-Bench 4 | 1281 | — |
Frequently asked questions
Is Claude Opus 4.8 better than Codellama 34b Instruct?
Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 30.8 on the Noometry Index.
Is Claude Opus 4.8 or Codellama 34b Instruct better for coding?
Claude Opus 4.8 scores higher on coding benchmarks: 59.9 versus 28.5 in the Noometry coding category.
How many benchmarks do Claude Opus 4.8 and Codellama 34b Instruct share?
10 benchmarks have published results for both models. Claude Opus 4.8 has 65 scored results on Noometry and Codellama 34b Instruct has 14.