Model comparison
Claude 3.7 Sonnet vs Gemini 2.5 Flash-Lite
Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 36.4 on the Noometry Index.
Last verified . 26 shared benchmarks.
GoogleSummary
- They share 26 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 7 categories and Gemini 2.5 Flash-Lite in 3 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in long context, where Claude 3.7 Sonnet leads 50.2 to 33.3.
- The biggest single-benchmark swing is Fiction.LiveBench: 83.3% for Claude 3.7 Sonnet and 47.2% for Gemini 2.5 Flash-Lite.
Side by side
| Claude 3.7 Sonnet | Gemini 2.5 Flash-Lite | |
|---|---|---|
| Provider | Anthropic | |
| Noometry Index | 39.4 | 36.4 |
| Released | 2025-02-24 | 2025-06-17 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 58 | 33 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 41.1 (#120), Gemini 2.5 Flash-Lite: 38.0 (#167)
| Benchmark | Claude 3.7 Sonnet | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Coding | 1361 | 1373 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| WeirdML | — | 35.2% |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
| ALE-Bench | — | 325.9 |
Agentic & Tool Use Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 33.9 (#46), Gemini 2.5 Flash-Lite: 27.8 (#89)
| Benchmark | Claude 3.7 Sonnet | Gemini 2.5 Flash-Lite |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 36.9% |
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Gemini 2.5 Flash-Lite leads
Claude 3.7 Sonnet: 18.7 (#252), Gemini 2.5 Flash-Lite: 21.5 (#196)
| Benchmark | Claude 3.7 Sonnet | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1377 |
| Epoch Capabilities Index | 141.16 | 133.93 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| Kagi LLM Benchmark | — | 40.5% |
| ARC-AGI-1 | 28.6% | — |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| DTBench | — | 62.8% |
| LiveBench Data Analysis | 74% | — |
| LMCA | — | 18.1% |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Too close to call
Claude 3.7 Sonnet: 35.7 (#137), Gemini 2.5 Flash-Lite: 35.5 (#144)
| Benchmark | Claude 3.7 Sonnet | Gemini 2.5 Flash-Lite |
|---|---|---|
| Omni-MATH | 33% | 48% |
| LMArena Math | 1336 | 1373 |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| LiveBench Math | 79% | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 39.7 (#117), Gemini 2.5 Flash-Lite: 32.1 (#206)
| Benchmark | Claude 3.7 Sonnet | Gemini 2.5 Flash-Lite |
|---|---|---|
| MMLU-Pro | 78.4% | 53.7% |
| GPQA (HELM) | 60.8% | 30.9% |
| LMArena Expert | 1321 | 1373 |
| GPQA Diamond | 79.7% | — |
| Humanity's Last Exam | 8% | — |
| Confabulations | 14.7% | — |
| Vectara Hallucination Rate | — | 3.3% |
Multimodal Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 33.1 (#90), Gemini 2.5 Flash-Lite: 28.6 (#109)
| Benchmark | Claude 3.7 Sonnet | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Vision | 1169 | 1198 |
| VPCT | 39% | 30% |
| GeoBench | 68% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Gemini 2.5 Flash-Lite leads
Claude 3.7 Sonnet: 44.3 (#174), Gemini 2.5 Flash-Lite: 49.5 (#129)
| Benchmark | Claude 3.7 Sonnet | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Non-English | 1296 | 1369 |
| LMArena Chinese | 1299 | 1404 |
| LMArena French | 1302 | 1388 |
| LMArena German | 1301 | 1390 |
| LMArena Japanese | 1268 | 1359 |
| LMArena Korean | 1249 | 1358 |
| LMArena Russian | 1311 | 1373 |
| LMArena Spanish | 1299 | 1396 |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 73.1 (#120), Gemini 2.5 Flash-Lite: 70.2 (#163)
| Benchmark | Claude 3.7 Sonnet | Gemini 2.5 Flash-Lite |
|---|---|---|
| IFEval | 83.4% | 81% |
| LMArena Instruction Following | 1352 | 1366 |
| LiveBench Instruction Following | 81.3% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.2 (#10), Gemini 2.5 Flash-Lite: 33.3 (#257)
| Benchmark | Claude 3.7 Sonnet | Gemini 2.5 Flash-Lite |
|---|---|---|
| Fiction.LiveBench | 83.3% | 47.2% |
| LMArena Longer Query | 1373 | 1373 |
Writing & Preference Gemini 2.5 Flash-Lite leads
Claude 3.7 Sonnet: 54.6 (#145), Gemini 2.5 Flash-Lite: 57.0 (#130)
| Benchmark | Claude 3.7 Sonnet | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Text | 1314 | 1379 |
| LMArena Creative Writing | 1332 | 1366 |
| WildBench | 81.4% | 81.8% |
| LMArena Multi-Turn | 1339 | 1367 |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Gemini 2.5 Flash-Lite?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.4 to 36.4 on the Noometry Index.
Is Claude 3.7 Sonnet or Gemini 2.5 Flash-Lite better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 41.1 versus 38.0 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Gemini 2.5 Flash-Lite share?
26 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Gemini 2.5 Flash-Lite has 33.