Model comparison
Gemini 2.5 Pro vs Mercury 2
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 39.1 on the Noometry Index. Mercury 2 costs 9.2× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
GoogleSummary
- They share 17 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 7 categories and Mercury 2 in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 36.2.
- The biggest single-benchmark swing is WeirdML: 54% for Gemini 2.5 Pro and 43.2% for Mercury 2.
- Mercury 2 is cheaper at $0.25 / $0.75 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 128K.
Side by side
| Gemini 2.5 Pro | Mercury 2 | |
|---|---|---|
| Provider | Inception | |
| Noometry Index | 45.0 | 39.1 |
| Released | 2025-03-25 | 2026-02-20 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 128K |
| Max output | 66K | 50K |
| Input $ / M tokens | $1.25 | $0.25 |
| Output $ / M tokens | $10 | $0.75 |
| Results tracked | 78 | 17 |
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Category by category
Coding Gemini 2.5 Pro leads
Gemini 2.5 Pro: 42.4 (#101), Mercury 2: 33.5 (#255)
| Benchmark | Gemini 2.5 Pro | Mercury 2 |
|---|---|---|
| LMArena WebDev | 1227 | 1171 |
| SciCode | 42.8% | 38.7% |
| WeirdML | 54% | 43.2% |
| LMArena Coding | 1452 | 1391 |
| ALE-Bench | 785.52 | 785.58 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| GSO | 3.9% | — |
| LiveBench Coding | 85.9% | — |
| CadEval | 64% | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Not comparable
Gemini 2.5 Pro: 29.2 (#88), Mercury 2: —
| Benchmark | Gemini 2.5 Pro | Mercury 2 |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |
Reasoning Gemini 2.5 Pro leads
Gemini 2.5 Pro: 28.8 (#99), Mercury 2: 23.8 (#170)
| Benchmark | Gemini 2.5 Pro | Mercury 2 |
|---|---|---|
| CritPt | 2% | 0.8% |
| LMArena Hard Prompts | 1455 | 1362 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| ARC-AGI-1 | 41% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| DTBench | 82.4% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| Epoch Capabilities Index | 145.32 | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math Not comparable
Gemini 2.5 Pro: 32.5 (#213), Mercury 2: —
| Benchmark | Gemini 2.5 Pro | Mercury 2 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| LMArena Math | 1450 | — |
| MATH Level 5 | 95.9% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Pro leads
Gemini 2.5 Pro: 56.0 (#46), Mercury 2: 36.2 (#172)
| Benchmark | Gemini 2.5 Pro | Mercury 2 |
|---|---|---|
| Vectara Hallucination Rate | 7% | 12.3% |
| LMArena Expert | 1452 | 1358 |
| GPQA Diamond | 85.3% | — |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| GPQA (HELM) | 74.9% | — |
Multimodal Not comparable
Gemini 2.5 Pro: 45.2 (#18), Mercury 2: —
| Benchmark | Gemini 2.5 Pro | Mercury 2 |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.3 (#31), Mercury 2: 46.6 (#157)
| Benchmark | Gemini 2.5 Pro | Mercury 2 |
|---|---|---|
| LMArena Non-English | 1451 | 1331 |
| LMArena Chinese | 1507 | 1417 |
| LMArena Russian | 1461 | 1304 |
| LMArena French | 1472 | — |
| LMArena German | 1487 | — |
| LMArena Japanese | 1461 | — |
| LMArena Korean | 1434 | — |
| LMArena Spanish | 1473 | — |
Instruction Following Gemini 2.5 Pro leads
Gemini 2.5 Pro: 75.0 (#75), Mercury 2: 70.2 (#165)
| Benchmark | Gemini 2.5 Pro | Mercury 2 |
|---|---|---|
| LMArena Instruction Following | 1437 | 1329 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.8 (#5), Mercury 2: 40.5 (#154)
| Benchmark | Gemini 2.5 Pro | Mercury 2 |
|---|---|---|
| LMArena Longer Query | 1449 | 1330 |
| Fiction.LiveBench | 91.7% | — |
Writing & Preference Gemini 2.5 Pro leads
Gemini 2.5 Pro: 63.7 (#62), Mercury 2: 53.8 (#155)
| Benchmark | Gemini 2.5 Pro | Mercury 2 |
|---|---|---|
| LMArena Text | 1458 | 1355 |
| LMArena Creative Writing | 1454 | 1289 |
| LMArena Multi-Turn | 1453 | 1358 |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than Mercury 2?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 39.1 on the Noometry Index. Mercury 2 costs 9.2× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Pro or Mercury 2?
Mercury 2 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or Mercury 2 better for coding?
Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 33.5 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 128K.
How many benchmarks do Gemini 2.5 Pro and Mercury 2 share?
17 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Mercury 2 has 17.