Model comparison
Claude Sonnet 5 vs GPT-3.5-turbo
Claude Sonnet 5 is the stronger model overall, scoring 54.6 to 23.2 on the Noometry Index. GPT-3.5-turbo costs 5.3× less per token, which makes it the better buy when Claude Sonnet 5's lead doesn't matter for your workload.
Last verified . 28 shared benchmarks.
Summary
- They share 28 benchmarks with published results for both. Claude Sonnet 5 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 5 leads 66.2 to 6.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.7% for Claude Sonnet 5 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 $2 / $10 for Claude Sonnet 5.
- Claude Sonnet 5 accepts more context: 1M tokens versus 16K.
Side by side
| Claude Sonnet 5 | GPT-3.5-turbo | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 54.6 | 23.2 |
| Released | 2026-06-29 | 2023-03-01 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 16K |
| Max output | 128K | 4K |
| Input $ / M tokens | $2 | $0.50 |
| Output $ / M tokens | $10 | $1.50 |
| Results tracked | 51 | 44 |
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Category by category
Coding Claude Sonnet 5 leads
Claude Sonnet 5: 55.5 (#26), GPT-3.5-turbo: 23.9 (#331)
| Benchmark | Claude Sonnet 5 | GPT-3.5-turbo |
|---|---|---|
| WeirdML | 68.8% | 3.5% |
| LMArena Coding | 1483 | 1136 |
| DeepSWE | 53.8% | — |
| FrontierCode | 42.7% | — |
| CursorBench | 34.1% | — |
| LMArena WebDev | 1541 | — |
| SciCode | 54.3% | — |
| GSO | 37.3% | — |
| BigCodeBench Instruct | — | 39.1% |
| BigCodeBench Complete | — | 50.6% |
| ALE-Bench | 1,463 | — |
| HumanEval+ | — | 70.7% |
| MBPP+ | — | 69.7% |
Agentic & Tool Use Not comparable
Claude Sonnet 5: 42.8 (#18), GPT-3.5-turbo: —
| Benchmark | Claude Sonnet 5 | GPT-3.5-turbo |
|---|---|---|
| APEX-Agents | 54.5% | — |
| GBAEval | 65.3% | — |
| LMArena Search | 1194 | — |
| METR Time Horizons | — | 21.5% |
| Vending-Bench 2 | 6,378 | — |
Reasoning Claude Sonnet 5 leads
Claude Sonnet 5: 49.1 (#39), GPT-3.5-turbo: 13.8 (#332)
| Benchmark | Claude Sonnet 5 | GPT-3.5-turbo |
|---|---|---|
| Chess Puzzles | 35% | 0% |
| LMArena Hard Prompts | 1461 | 1108 |
| Mystery Game Puzzles | 35% | 3% |
| DTBench | 92.5% | 48.5% |
| LMCA | 50% | 9.7% |
| Epoch Capabilities Index | 156.21 | 118.55 |
| ForecastBench | 61.1 | 50.4 |
| SimpleBench | 60.6% | — |
| NYT Connections (extended) | 75.1% | — |
| CritPt | 16.9% | — |
| Surface Evolver Bench | 60% | — |
| Adversarial NLI | — | 58.1% |
| Bench to the Future 3 | 0.14 | — |
| BIG-Bench Hard | — | 61.6% |
| CommonsenseQA 2.0 | — | 57% |
| WinoGrande | — | 81.6% |
Math Claude Sonnet 5 leads
Claude Sonnet 5: 66.2 (#27), GPT-3.5-turbo: 6.3 (#327)
| Benchmark | Claude Sonnet 5 | GPT-3.5-turbo |
|---|---|---|
| FrontierMath (Tiers 1-3) | 65.6% | 0% |
| OTIS Mock AIME 2024-2025 | 94.7% | 2.2% |
| LMArena Math | 1467 | 1142 |
| FrontierMath Tier 4 | 29.3% | — |
| ProofBench | 77% | — |
| MATH Level 5 | — | 15.9% |
| GSM8K | — | 57.8% |
Knowledge Claude Sonnet 5 leads
Claude Sonnet 5: 55.6 (#47), GPT-3.5-turbo: 10.0 (#303)
| Benchmark | Claude Sonnet 5 | GPT-3.5-turbo |
|---|---|---|
| GPQA Diamond | 90.5% | 28% |
| LMArena Expert | 1490 | 1070 |
| SimpleQA Verified | 33.7% | — |
| ARC (AI2) Challenge | — | 87.4% |
| BoolQ | — | 87% |
| MMLU | — | 71.4% |
| OpenBookQA | — | 86% |
| TriviaQA | — | 85.8% |
Multimodal Not comparable
Claude Sonnet 5: 42.4 (#31), GPT-3.5-turbo: —
| Benchmark | Claude Sonnet 5 | GPT-3.5-turbo |
|---|---|---|
| LMArena Vision | 1274 | — |
| Blueprint-Bench 2 | 24.9% | — |
| LMArena Document | 1466 | — |
Multilingual Claude Sonnet 5 leads
Claude Sonnet 5: 53.8 (#55), GPT-3.5-turbo: 31.5 (#258)
| Benchmark | Claude Sonnet 5 | GPT-3.5-turbo |
|---|---|---|
| LMArena Non-English | 1431 | 1108 |
| LMArena Chinese | 1477 | 1075 |
| LMArena French | 1460 | 1118 |
| LMArena German | 1440 | 1090 |
| LMArena Japanese | 1422 | 1043 |
| LMArena Korean | 1411 | 1019 |
| LMArena Russian | 1451 | 1123 |
| LMArena Spanish | 1437 | 1121 |
Instruction Following Claude Sonnet 5 leads
Claude Sonnet 5: 76.3 (#41), GPT-3.5-turbo: 57.9 (#262)
| Benchmark | Claude Sonnet 5 | GPT-3.5-turbo |
|---|---|---|
| LMArena Instruction Following | 1452 | 1119 |
Long Context Claude Sonnet 5 leads
Claude Sonnet 5: 44.8 (#55), GPT-3.5-turbo: 34.0 (#254)
| Benchmark | Claude Sonnet 5 | GPT-3.5-turbo |
|---|---|---|
| LMArena Longer Query | 1463 | 1121 |
Writing & Preference Claude Sonnet 5 leads
Claude Sonnet 5: 69.2 (#25), GPT-3.5-turbo: 25.3 (#305)
| Benchmark | Claude Sonnet 5 | GPT-3.5-turbo |
|---|---|---|
| LMArena Text | 1442 | 1125 |
| LMArena Creative Writing | 1416 | 1092 |
| EQ-Bench Creative Writing | 1794 | 451 |
| LMArena Multi-Turn | 1454 | 1117 |
| EQ-Bench 4 | 1236 | — |
Frequently asked questions
Is Claude Sonnet 5 better than GPT-3.5-turbo?
Claude Sonnet 5 is the stronger model overall, scoring 54.6 to 23.2 on the Noometry Index. GPT-3.5-turbo costs 5.3× less per token, which makes it the better buy when Claude Sonnet 5's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 5 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 5 lists at $2 and $10.
Is Claude Sonnet 5 or GPT-3.5-turbo better for coding?
Claude Sonnet 5 scores higher on coding benchmarks: 55.5 versus 23.9 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 5 does, with 1M tokens against 16K.
How many benchmarks do Claude Sonnet 5 and GPT-3.5-turbo share?
28 benchmarks have published results for both models. Claude Sonnet 5 has 51 scored results on Noometry and GPT-3.5-turbo has 44.