Model comparison

Codellama 70b Instruct vs gpt-oss-20b

Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 32.5 on the Noometry Index.

Last verified . 4 shared benchmarks.

Codellama 70b Instruct Meta

33.7

Rank #237 Confirmed

gpt-oss-20b OpenAI

32.5

Rank #255 Confirmed

Summary

  • They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 1 category and gpt-oss-20b in 4 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in multilingual, where gpt-oss-20b leads 42.2 to 24.8.

Side by side

Codellama 70b Instruct and gpt-oss-20b specifications
Codellama 70b Instructgpt-oss-20b
ProviderMetaOpenAI
Noometry Index33.732.5
Released—2025-08-05
WeightsOpenOpen
Context window—131K
Max output—16K
Input $ / M tokens—$0.018
Output $ / M tokens—$0.09
Results tracked734

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Category by category

Coding Too close to call

Codellama 70b Instruct: 37.6 (#193), gpt-oss-20b: 37.6 (#192)

Coding benchmarks
BenchmarkCodellama 70b Instructgpt-oss-20b
SciCode—34.4%
WeirdML—40.9%
BigCodeBench Instruct40.7%—
LMArena Coding—1306
BigCodeBench Complete49.6%—
ALE-Bench—566.05
HumanEval+65.9%—

Agentic & Tool Use Not comparable

Codellama 70b Instruct: —, gpt-oss-20b: 9.3 (#154)

Agentic & Tool Use benchmarks
BenchmarkCodellama 70b Instructgpt-oss-20b
Terminal-Bench—3.4%

Reasoning Too close to call

Codellama 70b Instruct: 20.1 (#242), gpt-oss-20b: 19.3 (#261)

Reasoning benchmarks
BenchmarkCodellama 70b Instructgpt-oss-20b
LMArena Hard Prompts10521274
Kagi LLM Benchmark—53.2%
CritPt—1.4%
Chess Puzzles—4%
DTBench—68%
LMCA—14.5%
Epoch Capabilities Index—137.82

Math Not comparable

Codellama 70b Instruct: —, gpt-oss-20b: 39.4 (#103)

Math benchmarks
BenchmarkCodellama 70b Instructgpt-oss-20b
OTIS Mock AIME 2024-2025—65.3%
Omni-MATH—56.5%
LMArena Math—1317

Knowledge Not comparable

Codellama 70b Instruct: —, gpt-oss-20b: 34.6 (#195)

Knowledge benchmarks
BenchmarkCodellama 70b Instructgpt-oss-20b
GPQA Diamond—60.8%
MMLU-Pro—74%
GPQA (HELM)—59.4%
LMArena Expert—1258

Multilingual gpt-oss-20b leads

Codellama 70b Instruct: 24.8 (#288), gpt-oss-20b: 42.2 (#197)

Multilingual benchmarks
BenchmarkCodellama 70b Instructgpt-oss-20b
LMArena Non-English9921268
LMArena Chinese—1314
LMArena German—1255
LMArena Japanese—1244
LMArena Korean—1236
LMArena Russian—1278
LMArena Spanish—1267

Instruction Following gpt-oss-20b leads

Codellama 70b Instruct: 51.9 (#293), gpt-oss-20b: 61.8 (#240)

Instruction Following benchmarks
BenchmarkCodellama 70b Instructgpt-oss-20b
LMArena Instruction Following10241236
IFEval—73.2%

Long Context Not comparable

Codellama 70b Instruct: —, gpt-oss-20b: 37.9 (#209)

Long Context benchmarks
BenchmarkCodellama 70b Instructgpt-oss-20b
LMArena Longer Query—1250

Writing & Preference gpt-oss-20b leads

Codellama 70b Instruct: 33.4 (#277), gpt-oss-20b: 35.5 (#265)

Writing & Preference benchmarks
BenchmarkCodellama 70b Instructgpt-oss-20b
LMArena Text10571287
LMArena Creative Writing—1201
EQ-Bench Creative Writing—666
WildBench—73.7%
LMArena Multi-Turn—1268

Frequently asked questions

Is Codellama 70b Instruct better than gpt-oss-20b?

Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 32.5 on the Noometry Index.

Is Codellama 70b Instruct or gpt-oss-20b better for coding?

They score almost the same on coding (37.6 vs 37.6); test both on your own repository before choosing.

How many benchmarks do Codellama 70b Instruct and gpt-oss-20b share?

4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and gpt-oss-20b has 34.

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