Noometry

Model comparison

Claude Sonnet 4.6 vs GPT-3.5-turbo

Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 23.2 on the Noometry Index. GPT-3.5-turbo costs 8.0× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

Last verified . 27 shared benchmarks.

Claude Sonnet 4.6 Anthropic

50.3

Rank #50 Confirmed

GPT-3.5-turbo OpenAI

23.2

Rank #350 Confirmed

Summary

  • They share 27 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 8 categories and GPT-3.5-turbo in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Claude Sonnet 4.6 leads 52.9 to 6.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 85.8% for Claude Sonnet 4.6 and 2.2% for GPT-3.5-turbo.
  • GPT-3.5-turbo is cheaper at $0.50 / $1.50 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
  • Claude Sonnet 4.6 accepts more context: 1M tokens versus 16K.

Side by side

Claude Sonnet 4.6GPT-3.5-turbo
ProviderAnthropicOpenAI
Noometry Index50.323.2
Released2026-02-172023-03-01
WeightsProprietaryProprietary
Context window1M16K
Max output128K4K
Input $ / M tokens$3$0.50
Output $ / M tokens$15$1.50
Results tracked5744

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 46.3 (#67), GPT-3.5-turbo: 23.9 (#331)

BenchmarkClaude Sonnet 4.6GPT-3.5-turbo
WeirdML66.1%3.5%
LMArena Coding15041136
SWE-bench Verified75.2%—
DeepSWE29.9%—
FrontierCode24.3%—
LMArena WebDev1522—
SciCode46.8%—
BigCodeBench Instruct—39.1%
BigCodeBench Complete—50.6%
ALE-Bench1,327—
HumanEval+—70.7%
MBPP+—69.7%

Agentic & Tool Use Not comparable

Claude Sonnet 4.6: 39.1 (#28), GPT-3.5-turbo: —

BenchmarkClaude Sonnet 4.6GPT-3.5-turbo
Terminal-Bench53.4%—
APEX-Agents43%—
OSWorld 2.09.3%—
DeepResearch Bench54.9%—
OSWorld72.1%—
ExploitBench23.6%—
GBAEval48.8%—
GDP.pdf18%—
LMArena Search1221—
METR Time Horizons—21.5%
Vending-Bench 27,204—

Reasoning Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 46.1 (#45), GPT-3.5-turbo: 13.8 (#332)

BenchmarkClaude Sonnet 4.6GPT-3.5-turbo
Chess Puzzles13%0%
LMArena Hard Prompts14841108
Mystery Game Puzzles16%3%
DTBench89.9%48.5%
LMCA46.5%9.7%
Epoch Capabilities Index152.24118.55
ForecastBench6250.4
ARC-AGI-260.4%—
NYT Connections (extended)80.9%—
ARC-AGI-186.5%—
CritPt3.1%—
Thematic Generalization76.3%—
Adversarial NLI—58.1%
BIG-Bench Hard—61.6%
CommonsenseQA 2.0—57%
WinoGrande—81.6%

Math Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 52.9 (#49), GPT-3.5-turbo: 6.3 (#327)

BenchmarkClaude Sonnet 4.6GPT-3.5-turbo
OTIS Mock AIME 2024-202585.8%2.2%
LMArena Math14621142
FrontierMath (Tiers 1-3)—0%
ProofBench45%—
MATH Level 5—15.9%
FrontierMath (Feb 2025 set)32.4%—
FrontierMath Tier 4 (v1)8.3%—
GSM8K—57.8%

Knowledge Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 51.7 (#65), GPT-3.5-turbo: 10.0 (#303)

BenchmarkClaude Sonnet 4.6GPT-3.5-turbo
GPQA Diamond87.4%28%
LMArena Expert15001070
SimpleQA Verified35.5%—
Vectara Hallucination Rate10.6%—
ARC (AI2) Challenge—87.4%
BoolQ—87%
MMLU—71.4%
OpenBookQA—86%
TriviaQA—85.8%

Multimodal Not comparable

Claude Sonnet 4.6: 38.0 (#68), GPT-3.5-turbo: —

BenchmarkClaude Sonnet 4.6GPT-3.5-turbo
LMArena Vision1283—
Blueprint-Bench 26.7%—
LMArena Document1482—

Multilingual Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 54.4 (#41), GPT-3.5-turbo: 31.5 (#258)

BenchmarkClaude Sonnet 4.6GPT-3.5-turbo
LMArena Non-English14401108
LMArena Chinese14911075
LMArena French14651118
LMArena German14281090
LMArena Japanese14201043
LMArena Korean14111019
LMArena Russian14401123
LMArena Spanish14641121

Instruction Following Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 77.4 (#25), GPT-3.5-turbo: 57.9 (#262)

BenchmarkClaude Sonnet 4.6GPT-3.5-turbo
LMArena Instruction Following14751119

Long Context Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 45.3 (#44), GPT-3.5-turbo: 34.0 (#254)

BenchmarkClaude Sonnet 4.6GPT-3.5-turbo
LMArena Longer Query14791121

Writing & Preference Claude Sonnet 4.6 leads

Claude Sonnet 4.6: 70.2 (#22), GPT-3.5-turbo: 25.3 (#305)

BenchmarkClaude Sonnet 4.6GPT-3.5-turbo
LMArena Text14581125
LMArena Creative Writing14351092
EQ-Bench Creative Writing1810451
LMArena Multi-Turn14641117
EQ-Bench 41207—

Frequently asked questions

Is Claude Sonnet 4.6 better than GPT-3.5-turbo?

Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 23.2 on the Noometry Index. GPT-3.5-turbo costs 8.0× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.

Which is cheaper, Claude Sonnet 4.6 or GPT-3.5-turbo?

GPT-3.5-turbo is cheaper. It lists at $0.50 per million input tokens and $1.50 per million output tokens; Claude Sonnet 4.6 lists at $3 and $15.

Is Claude Sonnet 4.6 or GPT-3.5-turbo better for coding?

Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 23.9 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 4.6 does, with 1M tokens against 16K.

How many benchmarks do Claude Sonnet 4.6 and GPT-3.5-turbo share?

27 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and GPT-3.5-turbo has 44.

Related comparisons

Go deeper