Model comparison
Codellama 70b Instruct vs Gemini 2.5 Pro
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 33.7 on the Noometry Index.
Last verified . 4 shared benchmarks.
Meta
GoogleSummary
- They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 0 categories and Gemini 2.5 Pro in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemini 2.5 Pro leads 55.3 to 24.8.
- Codellama 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Codellama 70b Instruct | Gemini 2.5 Pro | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 33.7 | 45.0 |
| Released | — | 2025-03-25 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 7 | 78 |
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Category by category
Coding Gemini 2.5 Pro leads
Codellama 70b Instruct: 37.6 (#193), Gemini 2.5 Pro: 42.4 (#101)
| Benchmark | Codellama 70b Instruct | Gemini 2.5 Pro |
|---|---|---|
| SWE-bench Verified | — | 57.6% |
| SWE-bench Verified (bash only) | — | 53.6% |
| Aider Polyglot | — | 83.1% |
| LMArena WebDev | — | 1227 |
| SciCode | — | 42.8% |
| GSO | — | 3.9% |
| WeirdML | — | 54% |
| BigCodeBench Instruct | 40.7% | — |
| LiveBench Coding | — | 85.9% |
| LMArena Coding | — | 1452 |
| BigCodeBench Complete | 49.6% | — |
| CadEval | — | 64% |
| ALE-Bench | — | 785.52 |
| AlgoTune | — | 1.51 |
| HumanEval+ | 65.9% | — |
Agentic & Tool Use Not comparable
Codellama 70b Instruct: —, Gemini 2.5 Pro: 29.2 (#88)
| Benchmark | Codellama 70b Instruct | Gemini 2.5 Pro |
|---|---|---|
| Terminal-Bench | — | 32.6% |
| GDPval | — | 23.3% |
| Remote Labor Index | — | 0.8% |
| TheAgentCompany | — | 30.3% |
| τ²-bench Banking | — | 13.7% |
| DeepResearch Bench | — | 42.8% |
| BALROG | — | 43.3% |
| LMArena Search | — | 1142 |
| METR Time Horizons | — | 55.4% |
| Vending-Bench 2 | — | 573.64 |
Reasoning Gemini 2.5 Pro leads
Codellama 70b Instruct: 20.1 (#242), Gemini 2.5 Pro: 28.8 (#99)
| Benchmark | Codellama 70b Instruct | Gemini 2.5 Pro |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1455 |
| ARC-AGI-2 | — | 4.9% |
| SimpleBench | — | 62.4% |
| Kagi LLM Benchmark | — | 70.3% |
| ARC-AGI-1 | — | 41% |
| CritPt | — | 2% |
| Chess Puzzles | — | 20% |
| EnigmaEval | — | 5.6% |
| LiveBench Reasoning | — | 89.8% |
| DTBench | — | 82.4% |
| LiveBench Data Analysis | — | 79.9% |
| LMCA | — | 34.8% |
| Epoch Capabilities Index | — | 145.32 |
| ForecastBench | — | 61.3 |
| LiveBench | — | 82.3% |
Math Not comparable
Codellama 70b Instruct: —, Gemini 2.5 Pro: 32.5 (#213)
| Benchmark | Codellama 70b Instruct | Gemini 2.5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 24.6% |
| FrontierMath Tier 4 | — | 0% |
| OTIS Mock AIME 2024-2025 | — | 84.7% |
| Omni-MATH | — | 41.6% |
| LiveBench Math | — | 90.2% |
| LMArena Math | — | 1450 |
| MATH Level 5 | — | 95.9% |
| FrontierMath (Feb 2025 set) | — | 14.1% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge Not comparable
Codellama 70b Instruct: —, Gemini 2.5 Pro: 56.0 (#46)
| Benchmark | Codellama 70b Instruct | Gemini 2.5 Pro |
|---|---|---|
| GPQA Diamond | — | 85.3% |
| Humanity's Last Exam | — | 21.6% |
| MMLU-Pro | — | 86.3% |
| Confabulations | — | 10.6% |
| Vectara Hallucination Rate | — | 7% |
| GPQA (HELM) | — | 74.9% |
| LMArena Expert | — | 1452 |
Multimodal Not comparable
Codellama 70b Instruct: —, Gemini 2.5 Pro: 45.2 (#18)
| Benchmark | Codellama 70b Instruct | Gemini 2.5 Pro |
|---|---|---|
| LMArena Vision | — | 1263 |
| GeoBench | — | 86% |
| VPCT | — | 48% |
| LMArena Document | — | 1421 |
| SpatialViz-Bench | — | 44.7% |
Multilingual Gemini 2.5 Pro leads
Codellama 70b Instruct: 24.8 (#288), Gemini 2.5 Pro: 55.3 (#31)
| Benchmark | Codellama 70b Instruct | Gemini 2.5 Pro |
|---|---|---|
| LMArena Non-English | 992 | 1451 |
| LMArena Chinese | — | 1507 |
| LMArena French | — | 1472 |
| LMArena German | — | 1487 |
| LMArena Japanese | — | 1461 |
| LMArena Korean | — | 1434 |
| LMArena Russian | — | 1461 |
| LMArena Spanish | — | 1473 |
Instruction Following Gemini 2.5 Pro leads
Codellama 70b Instruct: 51.9 (#293), Gemini 2.5 Pro: 75.0 (#75)
| Benchmark | Codellama 70b Instruct | Gemini 2.5 Pro |
|---|---|---|
| LMArena Instruction Following | 1024 | 1437 |
| LiveBench Instruction Following | — | 80.6% |
| IFEval | — | 84% |
Long Context Not comparable
Codellama 70b Instruct: —, Gemini 2.5 Pro: 59.8 (#5)
| Benchmark | Codellama 70b Instruct | Gemini 2.5 Pro |
|---|---|---|
| Fiction.LiveBench | — | 91.7% |
| LMArena Longer Query | — | 1449 |
Writing & Preference Gemini 2.5 Pro leads
Codellama 70b Instruct: 33.4 (#277), Gemini 2.5 Pro: 63.7 (#62)
| Benchmark | Codellama 70b Instruct | Gemini 2.5 Pro |
|---|---|---|
| LMArena Text | 1057 | 1458 |
| LMArena Creative Writing | — | 1454 |
| Short-Story Creative Writing | — | 83.8% |
| EQ-Bench Creative Writing | — | 1421 |
| WildBench | — | 85.7% |
| LMArena Multi-Turn | — | 1453 |
| LiveBench Language | — | 67.8% |
Frequently asked questions
Is Codellama 70b Instruct better than Gemini 2.5 Pro?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 33.7 on the Noometry Index.
Is Codellama 70b Instruct or Gemini 2.5 Pro better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 37.6 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and Gemini 2.5 Pro share?
4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Gemini 2.5 Pro has 78.