Model comparison
Mercury vs o3
o3 is the stronger model overall, scoring 47.5 to 37.6 on the Noometry Index.
Last verified . 9 shared benchmarks.
Summary
- They share 9 benchmarks with published results for both. Mercury scores higher in 0 categories and o3 in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where o3 leads 63.5 to 46.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 21.6% for Mercury and 67.6% for o3.
Side by side
| Mercury | o3 | |
|---|---|---|
| Provider | Inception | OpenAI |
| Noometry Index | 37.6 | 47.5 |
| Released | — | 2025-04-16 |
| Weights | Proprietary | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $8 |
| Results tracked | 9 | 63 |
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Category by category
Coding o3 leads
Mercury: 38.7 (#170), o3: 46.8 (#64)
| Benchmark | Mercury | o3 |
|---|---|---|
| LMArena Coding | 1322 | 1408 |
| SWE-bench Verified | — | 62.3% |
| SWE-bench Verified (bash only) | — | 58.4% |
| Aider Polyglot | — | 81.3% |
| GSO | — | 8.8% |
| WeirdML | — | 52.4% |
| CadEval | — | 74% |
| ALE-Bench | — | 933.55 |
Agentic & Tool Use Not comparable
Mercury: —, o3: 34.5 (#44)
| Benchmark | Mercury | o3 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 63% |
| GDPval | — | 30.8% |
| DeepResearch Bench | — | 45.2% |
| OSWorld | — | 23% |
| LMArena Search | — | 1144 |
| METR Time Horizons | — | 65.4% |
Reasoning o3 leads
Mercury: 17.5 (#293), o3: 32.0 (#78)
| Benchmark | Mercury | o3 |
|---|---|---|
| Kagi LLM Benchmark | 21.6% | 67.6% |
| LMArena Hard Prompts | 1285 | 1402 |
| ARC-AGI-2 | — | 6.5% |
| SimpleBench | — | 53.1% |
| ARC-AGI-1 | — | 60.8% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 38% |
| EnigmaEval | — | 13.1% |
| Mystery Game Puzzles | — | 29% |
| DTBench | — | 84.8% |
| LMCA | — | 39.7% |
| Epoch Capabilities Index | — | 146.86 |
| ForecastBench | — | 62.5 |
Math Not comparable
Mercury: —, o3: 50.2 (#58)
| Benchmark | Mercury | o3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 33.3% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| Omni-MATH | — | 71.4% |
| LMArena Math | — | 1426 |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 18.7% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge Not comparable
Mercury: —, o3: 54.6 (#52)
| Benchmark | Mercury | o3 |
|---|---|---|
| GPQA Diamond | — | 81.8% |
| Humanity's Last Exam | — | 20.3% |
| SimpleQA Verified | — | 49.4% |
| MMLU-Pro | — | 85.9% |
| Confabulations | — | 14.4% |
| GPQA (HELM) | — | 75.3% |
| LMArena Expert | — | 1402 |
Multimodal Not comparable
Mercury: —, o3: 41.4 (#36)
| Benchmark | Mercury | o3 |
|---|---|---|
| LMArena Vision | — | 1214 |
| GeoBench | — | 74% |
| VPCT | — | 52% |
Multilingual o3 leads
Mercury: 41.6 (#206), o3: 51.7 (#105)
| Benchmark | Mercury | o3 |
|---|---|---|
| LMArena Non-English | 1260 | 1401 |
| LMArena Chinese | — | 1437 |
| LMArena French | — | 1430 |
| LMArena German | — | 1420 |
| LMArena Japanese | — | 1403 |
| LMArena Korean | — | 1370 |
| LMArena Russian | — | 1406 |
| LMArena Spanish | — | 1395 |
Instruction Following o3 leads
Mercury: 65.2 (#224), o3: 72.8 (#127)
| Benchmark | Mercury | o3 |
|---|---|---|
| LMArena Instruction Following | 1239 | 1368 |
| IFEval | — | 86.9% |
Long Context o3 leads
Mercury: 38.4 (#198), o3: 53.3 (#6)
| Benchmark | Mercury | o3 |
|---|---|---|
| LMArena Longer Query | 1266 | 1372 |
| Fiction.LiveBench | — | 88.9% |
| CL-bench | — | 17.8% |
Writing & Preference o3 leads
Mercury: 46.2 (#221), o3: 63.5 (#64)
| Benchmark | Mercury | o3 |
|---|---|---|
| LMArena Text | 1282 | 1410 |
| LMArena Creative Writing | 1191 | 1359 |
| LMArena Multi-Turn | 1282 | 1405 |
| Short-Story Creative Writing | — | 83.9% |
| EQ-Bench Creative Writing | — | 1676 |
| WildBench | — | 86.1% |
Frequently asked questions
Is Mercury better than o3?
o3 is the stronger model overall, scoring 47.5 to 37.6 on the Noometry Index.
Is Mercury or o3 better for coding?
o3 scores higher on coding benchmarks: 46.8 versus 38.7 in the Noometry coding category.
How many benchmarks do Mercury and o3 share?
9 benchmarks have published results for both models. Mercury has 9 scored results on Noometry and o3 has 63.