Model comparison
Gemini 1.5 Pro (May 2024) vs Mercury 2
Mercury 2 is the stronger model overall, scoring 38.8 to 31.9 on the Noometry Index.
Last verified . 12 shared benchmarks.
GoogleSummary
- They share 12 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 1 category and Mercury 2 in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Mercury 2 leads 23.0 to 12.3.
- The biggest single-benchmark swing is WeirdML: 22.2% for Gemini 1.5 Pro (May 2024) and 43.2% for Mercury 2.
Side by side
| Gemini 1.5 Pro (May 2024) | Mercury 2 | |
|---|---|---|
| Provider | Inception | |
| Noometry Index | 31.9 | 38.8 |
| Released | 2024-02-15 | 2026-02-20 |
| Weights | Proprietary | Proprietary |
| Context window | — | 128K |
| Max output | — | 50K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.75 |
| Results tracked | 45 | 17 |
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Category by category
Coding Too close to call
Gemini 1.5 Pro (May 2024): 33.8 (#239), Mercury 2: 33.2 (#250)
| Benchmark | Gemini 1.5 Pro (May 2024) | Mercury 2 |
|---|---|---|
| WeirdML | 22.2% | 43.2% |
| LMArena Coding | 1294 | 1391 |
| LMArena WebDev | — | 1170 |
| SciCode | — | 38.7% |
| BigCodeBench Instruct | 43.8% | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| ALE-Bench | — | 785.58 |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use Not comparable
Gemini 1.5 Pro (May 2024): 17.8 (#137), Mercury 2: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Mercury 2 |
|---|---|---|
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
Reasoning Mercury 2 leads
Gemini 1.5 Pro (May 2024): 12.3 (#332), Mercury 2: 23.0 (#170)
| Benchmark | Gemini 1.5 Pro (May 2024) | Mercury 2 |
|---|---|---|
| LMArena Hard Prompts | 1296 | 1362 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| CritPt | — | 0.8% |
| DTBench | 59% | — |
| BIG-Bench Hard | 89.2% | — |
| Epoch Capabilities Index | 131.73 | — |
| ForecastBench | 58.4 | — |
Math Not comparable
Gemini 1.5 Pro (May 2024): 24.4 (#260), Mercury 2: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Mercury 2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | — |
| Omni-MATH | 36.4% | — |
| LMArena Math | 1315 | — |
| MATH Level 5 | 70.4% | — |
Knowledge Mercury 2 leads
Gemini 1.5 Pro (May 2024): 29.3 (#228), Mercury 2: 35.6 (#170)
| Benchmark | Gemini 1.5 Pro (May 2024) | Mercury 2 |
|---|---|---|
| LMArena Expert | 1279 | 1358 |
| GPQA Diamond | 57.2% | — |
| Humanity's Last Exam | 4.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| Vectara Hallucination Rate | — | 12.3% |
| GPQA (HELM) | 53.4% | — |
| MMLU | 86.9% | — |
Multimodal Not comparable
Gemini 1.5 Pro (May 2024): 36.2 (#72), Mercury 2: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Mercury 2 |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |
Multilingual Mercury 2 leads
Gemini 1.5 Pro (May 2024): 45.5 (#169), Mercury 2: 46.8 (#153)
| Benchmark | Gemini 1.5 Pro (May 2024) | Mercury 2 |
|---|---|---|
| LMArena Non-English | 1312 | 1331 |
| LMArena Chinese | 1331 | 1416 |
| LMArena Russian | 1320 | 1303 |
| LMArena French | 1301 | — |
| LMArena German | 1286 | — |
| LMArena Japanese | 1292 | — |
| LMArena Korean | 1298 | — |
| LMArena Spanish | 1310 | — |
Instruction Following Mercury 2 leads
Gemini 1.5 Pro (May 2024): 68.8 (#180), Mercury 2: 70.4 (#161)
| Benchmark | Gemini 1.5 Pro (May 2024) | Mercury 2 |
|---|---|---|
| LMArena Instruction Following | 1297 | 1328 |
| IFEval | 83.7% | — |
Long Context Too close to call
Gemini 1.5 Pro (May 2024): 39.7 (#164), Mercury 2: 40.4 (#149)
| Benchmark | Gemini 1.5 Pro (May 2024) | Mercury 2 |
|---|---|---|
| LMArena Longer Query | 1308 | 1329 |
Writing & Preference Mercury 2 leads
Gemini 1.5 Pro (May 2024): 52.5 (#167), Mercury 2: 54.0 (#151)
| Benchmark | Gemini 1.5 Pro (May 2024) | Mercury 2 |
|---|---|---|
| LMArena Text | 1319 | 1355 |
| LMArena Creative Writing | 1333 | 1289 |
| LMArena Multi-Turn | 1296 | 1358 |
| WildBench | 81.3% | — |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than Mercury 2?
Mercury 2 is the stronger model overall, scoring 38.8 to 31.9 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or Mercury 2 better for coding?
They score almost the same on coding (33.8 vs 33.2); test both on your own repository before choosing.
How many benchmarks do Gemini 1.5 Pro (May 2024) and Mercury 2 share?
12 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Mercury 2 has 17.