Model comparison
GPT-4 Turbo vs Mercury
Mercury is the stronger model overall, scoring 37.6 to 30.5 on the Noometry Index.
Last verified . 8 shared benchmarks.
Summary
- They share 8 benchmarks with published results for both. GPT-4 Turbo scores higher in 2 categories and Mercury in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mercury leads 38.7 to 33.8.
Side by side
| GPT-4 Turbo | Mercury | |
|---|---|---|
| Provider | OpenAI | Inception |
| Noometry Index | 30.5 | 37.6 |
| Released | 2023-11-06 | — |
| Weights | Proprietary | Proprietary |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $10 | — |
| Output $ / M tokens | $30 | — |
| Results tracked | 36 | 9 |
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Category by category
Coding Mercury leads
GPT-4 Turbo: 33.8 (#249), Mercury: 38.7 (#170)
| Benchmark | GPT-4 Turbo | Mercury |
|---|---|---|
| LMArena Coding | 1268 | 1322 |
| WeirdML | 18% | — |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 58.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Not comparable
GPT-4 Turbo: —, Mercury: —
| Benchmark | GPT-4 Turbo | Mercury |
|---|---|---|
| METR Time Horizons | 36.7% | — |
Reasoning Mercury leads
GPT-4 Turbo: 15.3 (#317), Mercury: 17.5 (#293)
| Benchmark | GPT-4 Turbo | Mercury |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1285 |
| SimpleBench | 25.1% | — |
| Kagi LLM Benchmark | — | 21.6% |
| Chess Puzzles | 6% | — |
| DTBench | 61.6% | — |
| LMCA | 9.8% | — |
| Epoch Capabilities Index | 127.25 | — |
| ForecastBench | 59.4 | — |
Math Not comparable
GPT-4 Turbo: 9.0 (#322), Mercury: —
| Benchmark | GPT-4 Turbo | Mercury |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.7% | — |
| LMArena Math | 1272 | — |
| MATH Level 5 | 46.7% | — |
Knowledge Not comparable
GPT-4 Turbo: 24.3 (#268), Mercury: —
| Benchmark | GPT-4 Turbo | Mercury |
|---|---|---|
| GPQA Diamond | 46.6% | — |
| Confabulations | 28.4% | — |
| LMArena Expert | 1223 | — |
| MMLU | 81.3% | — |
Multimodal Not comparable
GPT-4 Turbo: 30.6 (#110), Mercury: —
| Benchmark | GPT-4 Turbo | Mercury |
|---|---|---|
| LMArena Vision | 1090 | — |
Multilingual Mercury leads
GPT-4 Turbo: 40.5 (#216), Mercury: 41.6 (#206)
| Benchmark | GPT-4 Turbo | Mercury |
|---|---|---|
| LMArena Non-English | 1245 | 1260 |
| LMArena Chinese | 1242 | — |
| LMArena French | 1276 | — |
| LMArena German | 1259 | — |
| LMArena Japanese | 1194 | — |
| LMArena Korean | 1187 | — |
| LMArena Russian | 1259 | — |
| LMArena Spanish | 1260 | — |
Instruction Following Too close to call
GPT-4 Turbo: 65.8 (#216), Mercury: 65.2 (#224)
| Benchmark | GPT-4 Turbo | Mercury |
|---|---|---|
| LMArena Instruction Following | 1249 | 1239 |
Long Context Too close to call
GPT-4 Turbo: 38.0 (#206), Mercury: 38.4 (#198)
| Benchmark | GPT-4 Turbo | Mercury |
|---|---|---|
| LMArena Longer Query | 1254 | 1266 |
Writing & Preference GPT-4 Turbo leads
GPT-4 Turbo: 47.7 (#206), Mercury: 46.2 (#221)
| Benchmark | GPT-4 Turbo | Mercury |
|---|---|---|
| LMArena Text | 1272 | 1282 |
| LMArena Creative Writing | 1269 | 1191 |
| LMArena Multi-Turn | 1267 | 1282 |
Frequently asked questions
Is GPT-4 Turbo better than Mercury?
Mercury is the stronger model overall, scoring 37.6 to 30.5 on the Noometry Index.
Is GPT-4 Turbo or Mercury better for coding?
Mercury scores higher on coding benchmarks: 38.7 versus 33.8 in the Noometry coding category.
How many benchmarks do GPT-4 Turbo and Mercury share?
8 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and Mercury has 9.