Model comparison
Gemini 2.0 Flash (Feb 2025) vs Mercury
Mercury is the stronger model overall, scoring 37.6 to 35.1 on the Noometry Index.
Last verified . 9 shared benchmarks.
GoogleSummary
- They share 9 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 3 categories and Mercury in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mercury leads 38.7 to 28.4.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 37.8% for Gemini 2.0 Flash (Feb 2025) and 21.6% for Mercury.
Side by side
| Gemini 2.0 Flash (Feb 2025) | Mercury | |
|---|---|---|
| Provider | Inception | |
| Noometry Index | 35.1 | 37.6 |
| Released | 2024-12-06 | — |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 54 | 9 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Mercury leads
Gemini 2.0 Flash (Feb 2025): 28.4 (#315), Mercury: 38.7 (#170)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mercury |
|---|---|---|
| LMArena Coding | 1350 | 1322 |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| WeirdML | 25.8% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash (Feb 2025): 28.1 (#92), Mercury: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mercury |
|---|---|---|
| TheAgentCompany | 11.4% | — |
Reasoning Mercury leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#318), Mercury: 17.5 (#293)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mercury |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | 21.6% |
| LMArena Hard Prompts | 1346 | 1285 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| DTBench | 63.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| Epoch Capabilities Index | 135.36 | — |
| LiveBench | 66.9% | — |
Math Not comparable
Gemini 2.0 Flash (Feb 2025): 37.9 (#146), Mercury: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mercury |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| LMArena Math | 1352 | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge Not comparable
Gemini 2.0 Flash (Feb 2025): 32.0 (#213), Mercury: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mercury |
|---|---|---|
| GPQA Diamond | 64.1% | — |
| Humanity's Last Exam | 6.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 55.6% | — |
| LMArena Expert | 1339 | — |
| MMLU | 79.7% | — |
Multimodal Not comparable
Gemini 2.0 Flash (Feb 2025): 36.5 (#79), Mercury: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mercury |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |
Multilingual Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 47.4 (#149), Mercury: 41.6 (#206)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mercury |
|---|---|---|
| LMArena Non-English | 1342 | 1260 |
| LMArena Chinese | 1373 | — |
| LMArena French | 1391 | — |
| LMArena German | 1353 | — |
| LMArena Japanese | 1294 | — |
| LMArena Korean | 1313 | — |
| LMArena Russian | 1351 | — |
| LMArena Spanish | 1363 | — |
Instruction Following Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 74.4 (#97), Mercury: 65.2 (#224)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mercury |
|---|---|---|
| LMArena Instruction Following | 1336 | 1239 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
Long Context Too close to call
Gemini 2.0 Flash (Feb 2025): 38.1 (#203), Mercury: 38.4 (#198)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mercury |
|---|---|---|
| LMArena Longer Query | 1344 | 1266 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 49.5 (#190), Mercury: 46.2 (#221)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Mercury |
|---|---|---|
| LMArena Text | 1354 | 1282 |
| LMArena Creative Writing | 1340 | 1191 |
| LMArena Multi-Turn | 1350 | 1282 |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| WildBench | 80% | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than Mercury?
Mercury is the stronger model overall, scoring 37.6 to 35.1 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or Mercury better for coding?
Mercury scores higher on coding benchmarks: 38.7 versus 28.4 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Mercury share?
9 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Mercury has 9.