Noometry

Model comparison

Codellama 34b Instruct vs GPT-6 Sol

GPT-6 Sol is the stronger model overall, scoring 61.8 to 30.8 on the Noometry Index.

Last verified . 10 shared benchmarks.

Codellama 34b Instruct Meta

30.8

Rank #287 Confirmed

GPT-6 Sol OpenAI

61.8

Rank #12 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and GPT-6 Sol in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6 Sol leads 87.2 to 31.0.
  • Codellama 34b Instruct has downloadable open weights; the other is API-only.

Side by side

Codellama 34b InstructGPT-6 Sol
ProviderMetaOpenAI
Noometry Index30.861.8
Released—2026-09-22
WeightsOpenProprietary
Context window—1.05M
Max output—128K
Input $ / M tokens—$2
Output $ / M tokens—$10
Results tracked1445

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Category by category

Coding GPT-6 Sol leads

Codellama 34b Instruct: 28.5 (#314), GPT-6 Sol: 60.1 (#11)

BenchmarkCodellama 34b InstructGPT-6 Sol
LMArena Coding10461447
DeepSWE—68.8%
FrontierCode—49.3%
LMArena WebDev—1688
SciCode—57.6%
BigCodeBench Instruct29%—
BigCodeBench Complete37.1%—
ALE-Bench—2,462
HumanEval+43.9%—
MBPP+56.3%—

Agentic & Tool Use Not comparable

Codellama 34b Instruct: —, GPT-6 Sol: 37.2 (#36)

BenchmarkCodellama 34b InstructGPT-6 Sol
APEX-Agents—54.3%
GDP.pdf—26.4%
Vending-Bench 2—14,428

Reasoning GPT-6 Sol leads

Codellama 34b Instruct: 19.6 (#255), GPT-6 Sol: 74.0 (#9)

BenchmarkCodellama 34b InstructGPT-6 Sol
LMArena Hard Prompts10321418
ARC-AGI-2—89.6%
NYT Connections (extended)—90.1%
ARC-AGI-1—95.5%
CritPt—30.9%
EBR-Bench—53.3%
Mystery Game Puzzles—56%
DTBench—97.3%
LMCA—59.1%
Epoch Capabilities Index—162.72

Math GPT-6 Sol leads

Codellama 34b Instruct: 31.0 (#230), GPT-6 Sol: 87.2 (#7)

BenchmarkCodellama 34b InstructGPT-6 Sol
LMArena Math10561402
FrontierMath (Tiers 1-3)—89.8%
FrontierMath Tier 4—90%
OTIS Mock AIME 2024-2025—100%
ProofBench—83%

Knowledge Not comparable

Codellama 34b Instruct: —, GPT-6 Sol: 64.8 (#15)

BenchmarkCodellama 34b InstructGPT-6 Sol
GPQA Diamond—94.3%
SimpleQA Verified—60.7%
Vectara Hallucination Rate—6.5%
LMArena Expert—1439

Multimodal Not comparable

Codellama 34b Instruct: —, GPT-6 Sol: 47.6 (#10)

BenchmarkCodellama 34b InstructGPT-6 Sol
LMArena Vision—1245
Blueprint-Bench 2—36.9%
Furniture Assembly—58.3%

Multilingual GPT-6 Sol leads

Codellama 34b Instruct: 25.8 (#284), GPT-6 Sol: 50.5 (#118)

BenchmarkCodellama 34b InstructGPT-6 Sol
LMArena Non-English10111385
LMArena Chinese9761405
LMArena French—1410
LMArena German—1390
LMArena Japanese—1385
LMArena Korean—1341
LMArena Russian—1401
LMArena Spanish—1384

Instruction Following GPT-6 Sol leads

Codellama 34b Instruct: 52.2 (#291), GPT-6 Sol: 74.5 (#94)

BenchmarkCodellama 34b InstructGPT-6 Sol
LMArena Instruction Following10281412

Long Context GPT-6 Sol leads

Codellama 34b Instruct: 30.9 (#284), GPT-6 Sol: 43.1 (#108)

BenchmarkCodellama 34b InstructGPT-6 Sol
LMArena Longer Query10131411

Writing & Preference GPT-6 Sol leads

Codellama 34b Instruct: 28.2 (#297), GPT-6 Sol: 71.9 (#18)

BenchmarkCodellama 34b InstructGPT-6 Sol
LMArena Text10661395
LMArena Creative Writing10321378
LMArena Multi-Turn10151412
EQ-Bench Creative Writing—2125

Frequently asked questions

Is Codellama 34b Instruct better than GPT-6 Sol?

GPT-6 Sol is the stronger model overall, scoring 61.8 to 30.8 on the Noometry Index.

Is Codellama 34b Instruct or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 28.5 in the Noometry coding category.

How many benchmarks do Codellama 34b Instruct and GPT-6 Sol share?

10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and GPT-6 Sol has 45.

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