Model comparison
Codellama 34b Instruct vs Gemini 3.7 Flash
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 30.8 on the Noometry Index.
Last verified . 10 shared benchmarks.
Meta
GoogleSummary
- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and Gemini 3.7 Flash in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 19.6.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.
Side by side
| Codellama 34b Instruct | Gemini 3.7 Flash | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 30.8 | 59.8 |
| Released | — | 2026-08-13 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.75 |
| Output $ / M tokens | — | $3.75 |
| Results tracked | 14 | 44 |
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Category by category
Coding Gemini 3.7 Flash leads
Codellama 34b Instruct: 28.5 (#314), Gemini 3.7 Flash: 56.2 (#22)
| Benchmark | Codellama 34b Instruct | Gemini 3.7 Flash |
|---|---|---|
| LMArena Coding | 1046 | 1497 |
| DeepSWE | — | 65.5% |
| FrontierCode | — | 43.6% |
| LMArena WebDev | — | 1592 |
| FrontierSWE | — | 20.3% |
| SciCode | — | 59.8% |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| ALE-Bench | — | 904.3 |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Agentic & Tool Use Not comparable
Codellama 34b Instruct: —, Gemini 3.7 Flash: 42.1 (#19)
| Benchmark | Codellama 34b Instruct | Gemini 3.7 Flash |
|---|---|---|
| APEX-Agents | — | 67.8% |
| Remote Labor Index | — | 5% |
| GDP.pdf | — | 23.8% |
Reasoning Gemini 3.7 Flash leads
Codellama 34b Instruct: 19.6 (#255), Gemini 3.7 Flash: 70.0 (#15)
| Benchmark | Codellama 34b Instruct | Gemini 3.7 Flash |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1494 |
| ARC-AGI-2 | — | 84.6% |
| NYT Connections (extended) | — | 94% |
| ARC-AGI-1 | — | 95.5% |
| CritPt | — | 14.3% |
| Chess Puzzles | — | 47% |
| Mystery Game Puzzles | — | 37% |
| DTBench | — | 96.8% |
| LMCA | — | 50.4% |
| Epoch Capabilities Index | — | 157.27 |
Math Gemini 3.7 Flash leads
Codellama 34b Instruct: 31.0 (#230), Gemini 3.7 Flash: 69.6 (#23)
| Benchmark | Codellama 34b Instruct | Gemini 3.7 Flash |
|---|---|---|
| LMArena Math | 1056 | 1507 |
| FrontierMath (Tiers 1-3) | — | 71.6% |
| FrontierMath Tier 4 | — | 36.6% |
| OTIS Mock AIME 2024-2025 | — | 97.2% |
| ProofBench | — | 58% |
Knowledge Not comparable
Codellama 34b Instruct: —, Gemini 3.7 Flash: 69.7 (#5)
| Benchmark | Codellama 34b Instruct | Gemini 3.7 Flash |
|---|---|---|
| GPQA Diamond | — | 94.8% |
| SimpleQA Verified | — | 69.2% |
| LMArena Expert | — | 1508 |
Multimodal Not comparable
Codellama 34b Instruct: —, Gemini 3.7 Flash: 37.3 (#73)
| Benchmark | Codellama 34b Instruct | Gemini 3.7 Flash |
|---|---|---|
| LMArena Vision | — | 1316 |
| Furniture Assembly | — | 26.7% |
Multilingual Gemini 3.7 Flash leads
Codellama 34b Instruct: 25.8 (#284), Gemini 3.7 Flash: 57.6 (#7)
| Benchmark | Codellama 34b Instruct | Gemini 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1011 | 1484 |
| LMArena Chinese | 976 | 1548 |
| LMArena French | — | 1505 |
| LMArena German | — | 1498 |
| LMArena Japanese | — | 1512 |
| LMArena Korean | — | 1483 |
| LMArena Russian | — | 1516 |
| LMArena Spanish | — | 1503 |
Instruction Following Gemini 3.7 Flash leads
Codellama 34b Instruct: 52.2 (#291), Gemini 3.7 Flash: 77.7 (#15)
| Benchmark | Codellama 34b Instruct | Gemini 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1028 | 1483 |
Long Context Gemini 3.7 Flash leads
Codellama 34b Instruct: 30.9 (#284), Gemini 3.7 Flash: 45.7 (#30)
| Benchmark | Codellama 34b Instruct | Gemini 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1013 | 1492 |
Writing & Preference Gemini 3.7 Flash leads
Codellama 34b Instruct: 28.2 (#297), Gemini 3.7 Flash: 71.2 (#20)
| Benchmark | Codellama 34b Instruct | Gemini 3.7 Flash |
|---|---|---|
| LMArena Text | 1066 | 1486 |
| LMArena Creative Writing | 1032 | 1490 |
| LMArena Multi-Turn | 1015 | 1489 |
| EQ-Bench Creative Writing | — | 1723 |
Frequently asked questions
Is Codellama 34b Instruct better than Gemini 3.7 Flash?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or Gemini 3.7 Flash better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Gemini 3.7 Flash share?
10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Gemini 3.7 Flash has 44.