Model comparison
Claude Sonnet 5.5 vs GPT-3.5-turbo
Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 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 5.5's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Claude Sonnet 5.5 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 5.5 leads 87.9 to 6.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for Claude Sonnet 5.5 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 5.5.
- Claude Sonnet 5.5 accepts more context: 1M tokens versus 16K.
Side by side
| Claude Sonnet 5.5 | GPT-3.5-turbo | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 61.9 | 23.2 |
| Released | 2026-09-28 | 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 | 32 | 44 |
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Category by category
Coding Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 67.3 (#6), GPT-3.5-turbo: 23.9 (#331)
| Benchmark | Claude Sonnet 5.5 | GPT-3.5-turbo |
|---|---|---|
| LMArena Coding | 1513 | 1136 |
| FrontierCode | 52.1% | — |
| CursorBench | 55.5% | — |
| LMArena WebDev | 1774 | — |
| FrontierSWE | 61.9% | — |
| SciCode | 61% | — |
| WeirdML | — | 3.5% |
| BigCodeBench Instruct | — | 39.1% |
| BigCodeBench Complete | — | 50.6% |
| ALE-Bench | 1,819 | — |
| HumanEval+ | — | 70.7% |
| MBPP+ | — | 69.7% |
Agentic & Tool Use Not comparable
Claude Sonnet 5.5: 45.0 (#16), GPT-3.5-turbo: —
| Benchmark | Claude Sonnet 5.5 | GPT-3.5-turbo |
|---|---|---|
| APEX-Agents | 75.5% | — |
| METR Time Horizons | — | 21.5% |
Reasoning Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 54.0 (#28), GPT-3.5-turbo: 13.8 (#332)
| Benchmark | Claude Sonnet 5.5 | GPT-3.5-turbo |
|---|---|---|
| LMArena Hard Prompts | 1495 | 1108 |
| Mystery Game Puzzles | 65% | 3% |
| Epoch Capabilities Index | 165.03 | 118.55 |
| NYT Connections (extended) | 80.5% | — |
| CritPt | 31.4% | — |
| Chess Puzzles | — | 0% |
| DTBench | — | 48.5% |
| LMCA | — | 9.7% |
| Adversarial NLI | — | 58.1% |
| BIG-Bench Hard | — | 61.6% |
| CommonsenseQA 2.0 | — | 57% |
| ForecastBench | — | 50.4 |
| WinoGrande | — | 81.6% |
Math Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 87.9 (#6), GPT-3.5-turbo: 6.3 (#327)
| Benchmark | Claude Sonnet 5.5 | GPT-3.5-turbo |
|---|---|---|
| FrontierMath (Tiers 1-3) | 88.8% | 0% |
| OTIS Mock AIME 2024-2025 | 100% | 2.2% |
| LMArena Math | 1510 | 1142 |
| FrontierMath Tier 4 | 80.5% | — |
| ProofBench | 100% | — |
| MATH Level 5 | — | 15.9% |
| FrontierMath Erdős | 2.9% | — |
| GSM8K | — | 57.8% |
Knowledge Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#12), GPT-3.5-turbo: 10.0 (#303)
| Benchmark | Claude Sonnet 5.5 | GPT-3.5-turbo |
|---|---|---|
| GPQA Diamond | 95.6% | 28% |
| LMArena Expert | 1540 | 1070 |
| SimpleQA Verified | 46.5% | — |
| ARC (AI2) Challenge | — | 87.4% |
| BoolQ | — | 87% |
| MMLU | — | 71.4% |
| OpenBookQA | — | 86% |
| TriviaQA | — | 85.8% |
Multimodal Not comparable
Claude Sonnet 5.5: 51.5 (#6), GPT-3.5-turbo: —
| Benchmark | Claude Sonnet 5.5 | GPT-3.5-turbo |
|---|---|---|
| LMArena Vision | 1289 | — |
| Furniture Assembly | 75% | — |
Multilingual Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 55.3 (#30), GPT-3.5-turbo: 31.5 (#258)
| Benchmark | Claude Sonnet 5.5 | GPT-3.5-turbo |
|---|---|---|
| LMArena Non-English | 1452 | 1108 |
| LMArena Chinese | 1522 | 1075 |
| LMArena Russian | 1451 | 1123 |
| LMArena French | — | 1118 |
| LMArena German | — | 1090 |
| LMArena Japanese | — | 1043 |
| LMArena Korean | — | 1019 |
| LMArena Spanish | — | 1121 |
Instruction Following Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 78.3 (#11), GPT-3.5-turbo: 57.9 (#262)
| Benchmark | Claude Sonnet 5.5 | GPT-3.5-turbo |
|---|---|---|
| LMArena Instruction Following | 1495 | 1119 |
Long Context Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 45.9 (#28), GPT-3.5-turbo: 34.0 (#254)
| Benchmark | Claude Sonnet 5.5 | GPT-3.5-turbo |
|---|---|---|
| LMArena Longer Query | 1498 | 1121 |
Writing & Preference Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#40), GPT-3.5-turbo: 25.3 (#305)
| Benchmark | Claude Sonnet 5.5 | GPT-3.5-turbo |
|---|---|---|
| LMArena Text | 1471 | 1125 |
| LMArena Creative Writing | 1465 | 1092 |
| LMArena Multi-Turn | 1474 | 1117 |
| EQ-Bench Creative Writing | — | 451 |
Frequently asked questions
Is Claude Sonnet 5.5 better than GPT-3.5-turbo?
Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 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 5.5's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 5.5 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 5.5 lists at $2 and $10.
Is Claude Sonnet 5.5 or GPT-3.5-turbo better for coding?
Claude Sonnet 5.5 scores higher on coding benchmarks: 67.3 versus 23.9 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 5.5 does, with 1M tokens against 16K.
How many benchmarks do Claude Sonnet 5.5 and GPT-3.5-turbo share?
17 benchmarks have published results for both models. Claude Sonnet 5.5 has 32 scored results on Noometry and GPT-3.5-turbo has 44.