Model comparison
Gemini 2.5 Flash vs Mercury
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 37.6 on the Noometry Index.
Last verified . 9 shared benchmarks.
Summary
- They share 9 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 5 categories and Mercury in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Gemini 2.5 Flash leads 52.3 to 41.6.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 56.8% for Gemini 2.5 Flash and 21.6% for Mercury.
Side by side
| Gemini 2.5 Flash | Mercury | |
|---|---|---|
| Provider | Inception | |
| Noometry Index | 39.3 | 37.6 |
| Released | 2025-04-17 | — |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 54 | 9 |
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Category by category
Coding Mercury leads
Gemini 2.5 Flash: 35.8 (#220), Mercury: 38.7 (#170)
| Benchmark | Gemini 2.5 Flash | Mercury |
|---|---|---|
| LMArena Coding | 1424 | 1322 |
| SWE-bench Verified (bash only) | 28.7% | — |
| Aider Polyglot | 55.1% | — |
| WeirdML | 41.9% | — |
| ALE-Bench | 661.88 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Flash: 30.8 (#74), Mercury: —
| Benchmark | Gemini 2.5 Flash | Mercury |
|---|---|---|
| Terminal-Bench | 17.1% | — |
| Berkeley Function Calling Leaderboard | 56.2% | — |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| Vending-Bench 2 | 548.84 | — |
Reasoning Too close to call
Gemini 2.5 Flash: 18.1 (#286), Mercury: 17.5 (#293)
| Benchmark | Gemini 2.5 Flash | Mercury |
|---|---|---|
| Kagi LLM Benchmark | 56.8% | 21.6% |
| LMArena Hard Prompts | 1422 | 1285 |
| ARC-AGI-2 | 2.5% | — |
| SimpleBench | 41.2% | — |
| ARC-AGI-1 | 33.3% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 2.7% | — |
| DTBench | 76.5% | — |
| LMCA | 27.5% | — |
| Epoch Capabilities Index | 143.03 | — |
| ForecastBench | 60.6 | — |
Math Not comparable
Gemini 2.5 Flash: 39.9 (#98), Mercury: —
| Benchmark | Gemini 2.5 Flash | Mercury |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | — |
| Omni-MATH | 38.5% | — |
| LMArena Math | 1415 | — |
| FrontierMath (Feb 2025 set) | 4.8% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Not comparable
Gemini 2.5 Flash: 36.4 (#168), Mercury: —
| Benchmark | Gemini 2.5 Flash | Mercury |
|---|---|---|
| Humanity's Last Exam | 12.1% | — |
| MMLU-Pro | 63.9% | — |
| Confabulations | 16.8% | — |
| Vectara Hallucination Rate | 7.8% | — |
| GPQA (HELM) | 39% | — |
| LMArena Expert | 1426 | — |
Multimodal Not comparable
Gemini 2.5 Flash: 41.8 (#32), Mercury: —
| Benchmark | Gemini 2.5 Flash | Mercury |
|---|---|---|
| LMArena Vision | 1253 | — |
| GeoBench | 76% | — |
| VPCT | 46.2% | — |
| SpatialViz-Bench | 36.9% | — |
Multilingual Gemini 2.5 Flash leads
Gemini 2.5 Flash: 52.3 (#88), Mercury: 41.6 (#206)
| Benchmark | Gemini 2.5 Flash | Mercury |
|---|---|---|
| LMArena Non-English | 1409 | 1260 |
| LMArena Chinese | 1450 | — |
| LMArena French | 1433 | — |
| LMArena German | 1418 | — |
| LMArena Japanese | 1405 | — |
| LMArena Korean | 1385 | — |
| LMArena Russian | 1415 | — |
| LMArena Spanish | 1421 | — |
Instruction Following Gemini 2.5 Flash leads
Gemini 2.5 Flash: 75.7 (#54), Mercury: 65.2 (#224)
| Benchmark | Gemini 2.5 Flash | Mercury |
|---|---|---|
| LMArena Instruction Following | 1405 | 1239 |
| IFEval | 89.8% | — |
Long Context Gemini 2.5 Flash leads
Gemini 2.5 Flash: 47.5 (#17), Mercury: 38.4 (#198)
| Benchmark | Gemini 2.5 Flash | Mercury |
|---|---|---|
| LMArena Longer Query | 1419 | 1266 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference Gemini 2.5 Flash leads
Gemini 2.5 Flash: 53.8 (#157), Mercury: 46.2 (#221)
| Benchmark | Gemini 2.5 Flash | Mercury |
|---|---|---|
| LMArena Text | 1417 | 1282 |
| LMArena Creative Writing | 1400 | 1191 |
| LMArena Multi-Turn | 1408 | 1282 |
| Short-Story Creative Writing | 76.5% | — |
| EQ-Bench Creative Writing | 1137 | — |
| WildBench | 81.7% | — |
Frequently asked questions
Is Gemini 2.5 Flash better than Mercury?
Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 37.6 on the Noometry Index.
Is Gemini 2.5 Flash or Mercury better for coding?
Mercury scores higher on coding benchmarks: 38.7 versus 35.8 in the Noometry coding category.
How many benchmarks do Gemini 2.5 Flash and Mercury share?
9 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and Mercury has 9.