Model comparison

C4ai Aya Expanse 8b vs GPT-5.2

GPT-5.2 is the stronger model overall, scoring 54.1 to 34.9 on the Noometry Index.

Last verified . 15 shared benchmarks.

C4ai Aya Expanse 8b Cohere

34.9

Rank #229 Confirmed

GPT-5.2 OpenAI

54.1

Rank #34 Confirmed

Summary

  • They share 15 benchmarks with published results for both. C4ai Aya Expanse 8b scores higher in 0 categories and GPT-5.2 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-5.2 leads 50.2 to 22.4.
  • C4ai Aya Expanse 8b has downloadable open weights; the other is API-only.

Side by side

C4ai Aya Expanse 8b and GPT-5.2 specifications
C4ai Aya Expanse 8bGPT-5.2
ProviderCohereOpenAI
Noometry Index34.954.1
Released—2025-12-11
WeightsOpenProprietary
Context window—400K
Max output—128K
Input $ / M tokens—$1.75
Output $ / M tokens—$14
Results tracked1567

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Category by category

Coding GPT-5.2 leads

C4ai Aya Expanse 8b: 33.8 (#252), GPT-5.2: 51.6 (#37)

Coding benchmarks
BenchmarkC4ai Aya Expanse 8bGPT-5.2
LMArena Coding11601447
SWE-bench Verified—73.8%
SWE-bench Verified (bash only)—72.8%
LMArena WebDev—1416
SWE-bench Multilingual—66.7%
GSO—27.4%
WeirdML—72.2%
ALE-Bench—1,294
AlgoTune—2.05

Agentic & Tool Use Not comparable

C4ai Aya Expanse 8b: —, GPT-5.2: 40.2 (#24)

Agentic & Tool Use benchmarks
BenchmarkC4ai Aya Expanse 8bGPT-5.2
Terminal-Bench—64.9%
Berkeley Function Calling Leaderboard—55.9%
GDPval—49.7%
Remote Labor Index—2.5%
τ²-bench Airline—83%
τ²-bench Banking—32.2%
τ²-bench Retail—81.6%
τ²-bench Telecom—89.7%
DeepResearch Bench—41.1%
LMArena Search—1207
METR Time Horizons—75.3%
Vending-Bench 2—3,591

Reasoning GPT-5.2 leads

C4ai Aya Expanse 8b: 22.4 (#197), GPT-5.2: 50.2 (#35)

Reasoning benchmarks
BenchmarkC4ai Aya Expanse 8bGPT-5.2
LMArena Hard Prompts11561445
ARC-AGI-2—52.9%
SimpleBench—45.8%
Kagi LLM Benchmark—73.3%
NYT Connections (extended)—83.6%
ARC-AGI-1—86.2%
Chess Puzzles—49%
EnigmaEval—10.4%
EBR-Bench—23%
Mystery Game Puzzles—23%
DTBench—90.9%
LMCA—43.9%
Epoch Capabilities Index—153.45
ForecastBench—60.1

Math GPT-5.2 leads

C4ai Aya Expanse 8b: 33.3 (#203), GPT-5.2: 60.0 (#38)

Knowledge GPT-5.2 leads

C4ai Aya Expanse 8b: 33.6 (#201), GPT-5.2: 59.3 (#32)

Knowledge benchmarks
BenchmarkC4ai Aya Expanse 8bGPT-5.2
Vectara Hallucination Rate9.5%8.4%
LMArena Expert11531445
GPQA Diamond—91.4%
Humanity's Last Exam—27.8%
SimpleQA Verified—37.1%

Multimodal Not comparable

C4ai Aya Expanse 8b: —, GPT-5.2: 51.3 (#7)

Multimodal benchmarks
BenchmarkC4ai Aya Expanse 8bGPT-5.2
LMArena Vision—1268
VPCT—84%
Furniture Assembly—38.3%
LMArena Document—1405

Multilingual GPT-5.2 leads

C4ai Aya Expanse 8b: 36.1 (#242), GPT-5.2: 53.4 (#67)

Multilingual benchmarks
BenchmarkC4ai Aya Expanse 8bGPT-5.2
LMArena Non-English11801425
LMArena Chinese11811460
LMArena German11881448
LMArena Japanese11201420
LMArena Russian11971440
LMArena French—1455
LMArena Korean—1392
LMArena Spanish—1433

Instruction Following GPT-5.2 leads

C4ai Aya Expanse 8b: 60.1 (#253), GPT-5.2: 74.7 (#89)

Instruction Following benchmarks
BenchmarkC4ai Aya Expanse 8bGPT-5.2
LMArena Instruction Following11551417

Long Context GPT-5.2 leads

C4ai Aya Expanse 8b: 36.1 (#236), GPT-5.2: 44.0 (#78)

Long Context benchmarks
BenchmarkC4ai Aya Expanse 8bGPT-5.2
LMArena Longer Query11911428
CL-bench—18.2%

Writing & Preference GPT-5.2 leads

C4ai Aya Expanse 8b: 39.0 (#250), GPT-5.2: 66.8 (#32)

Writing & Preference benchmarks
BenchmarkC4ai Aya Expanse 8bGPT-5.2
LMArena Text11851439
LMArena Creative Writing11681401
LMArena Multi-Turn11601458
EQ-Bench Creative Writing—1703

Frequently asked questions

Is C4ai Aya Expanse 8b better than GPT-5.2?

GPT-5.2 is the stronger model overall, scoring 54.1 to 34.9 on the Noometry Index.

Is C4ai Aya Expanse 8b or GPT-5.2 better for coding?

GPT-5.2 scores higher on coding benchmarks: 51.6 versus 33.8 in the Noometry coding category.

How many benchmarks do C4ai Aya Expanse 8b and GPT-5.2 share?

15 benchmarks have published results for both models. C4ai Aya Expanse 8b has 15 scored results on Noometry and GPT-5.2 has 67.

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