Model comparison
GPT-3.5-turbo vs Mercury
Mercury is the stronger model overall, scoring 37.6 to 23.2 on the Noometry Index.
Last verified . 8 shared benchmarks.
Summary
- They share 8 benchmarks with published results for both. GPT-3.5-turbo scores higher in 0 categories and Mercury in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mercury leads 46.2 to 25.3.
Side by side
| GPT-3.5-turbo | Mercury | |
|---|---|---|
| Provider | OpenAI | Inception |
| Noometry Index | 23.2 | 37.6 |
| Released | 2023-03-01 | — |
| Weights | Proprietary | Proprietary |
| Context window | 16K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.50 | — |
| Output $ / M tokens | $1.50 | — |
| Results tracked | 44 | 9 |
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Category by category
Coding Mercury leads
GPT-3.5-turbo: 23.9 (#331), Mercury: 38.7 (#170)
| Benchmark | GPT-3.5-turbo | Mercury |
|---|---|---|
| LMArena Coding | 1136 | 1322 |
| WeirdML | 3.5% | — |
| BigCodeBench Instruct | 39.1% | — |
| BigCodeBench Complete | 50.6% | — |
| HumanEval+ | 70.7% | — |
| MBPP+ | 69.7% | — |
Agentic & Tool Use Not comparable
GPT-3.5-turbo: —, Mercury: —
| Benchmark | GPT-3.5-turbo | Mercury |
|---|---|---|
| METR Time Horizons | 21.5% | — |
Reasoning Mercury leads
GPT-3.5-turbo: 13.8 (#332), Mercury: 17.5 (#293)
| Benchmark | GPT-3.5-turbo | Mercury |
|---|---|---|
| LMArena Hard Prompts | 1108 | 1285 |
| Kagi LLM Benchmark | — | 21.6% |
| Chess Puzzles | 0% | — |
| Mystery Game Puzzles | 3% | — |
| DTBench | 48.5% | — |
| LMCA | 9.7% | — |
| Adversarial NLI | 58.1% | — |
| BIG-Bench Hard | 61.6% | — |
| CommonsenseQA 2.0 | 57% | — |
| Epoch Capabilities Index | 118.55 | — |
| ForecastBench | 50.4 | — |
| WinoGrande | 81.6% | — |
Math Not comparable
GPT-3.5-turbo: 6.3 (#327), Mercury: —
| Benchmark | GPT-3.5-turbo | Mercury |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0% | — |
| OTIS Mock AIME 2024-2025 | 2.2% | — |
| LMArena Math | 1142 | — |
| MATH Level 5 | 15.9% | — |
| GSM8K | 57.8% | — |
Knowledge Not comparable
GPT-3.5-turbo: 10.0 (#303), Mercury: —
| Benchmark | GPT-3.5-turbo | Mercury |
|---|---|---|
| GPQA Diamond | 28% | — |
| LMArena Expert | 1070 | — |
| ARC (AI2) Challenge | 87.4% | — |
| BoolQ | 87% | — |
| MMLU | 71.4% | — |
| OpenBookQA | 86% | — |
| TriviaQA | 85.8% | — |
Multilingual Mercury leads
GPT-3.5-turbo: 31.5 (#258), Mercury: 41.6 (#206)
| Benchmark | GPT-3.5-turbo | Mercury |
|---|---|---|
| LMArena Non-English | 1108 | 1260 |
| LMArena Chinese | 1075 | — |
| LMArena French | 1118 | — |
| LMArena German | 1090 | — |
| LMArena Japanese | 1043 | — |
| LMArena Korean | 1019 | — |
| LMArena Russian | 1123 | — |
| LMArena Spanish | 1121 | — |
Instruction Following Mercury leads
GPT-3.5-turbo: 57.9 (#262), Mercury: 65.2 (#224)
| Benchmark | GPT-3.5-turbo | Mercury |
|---|---|---|
| LMArena Instruction Following | 1119 | 1239 |
Long Context Mercury leads
GPT-3.5-turbo: 34.0 (#254), Mercury: 38.4 (#198)
| Benchmark | GPT-3.5-turbo | Mercury |
|---|---|---|
| LMArena Longer Query | 1121 | 1266 |
Writing & Preference Mercury leads
GPT-3.5-turbo: 25.3 (#305), Mercury: 46.2 (#221)
| Benchmark | GPT-3.5-turbo | Mercury |
|---|---|---|
| LMArena Text | 1125 | 1282 |
| LMArena Creative Writing | 1092 | 1191 |
| LMArena Multi-Turn | 1117 | 1282 |
| EQ-Bench Creative Writing | 451 | — |
Frequently asked questions
Is GPT-3.5-turbo better than Mercury?
Mercury is the stronger model overall, scoring 37.6 to 23.2 on the Noometry Index.
Is GPT-3.5-turbo or Mercury better for coding?
Mercury scores higher on coding benchmarks: 38.7 versus 23.9 in the Noometry coding category.
How many benchmarks do GPT-3.5-turbo and Mercury share?
8 benchmarks have published results for both models. GPT-3.5-turbo has 44 scored results on Noometry and Mercury has 9.