Model comparison
Claude Opus 5 vs Gemini 2.5 Flash-Lite
Claude Opus 5 is the stronger model overall, scoring 67.8 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 57× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Claude Opus 5 scores higher in 10 categories and Gemini 2.5 Flash-Lite in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 5 leads 77.2 to 22.2.
- The biggest single-benchmark swing is WeirdML: 91.8% for Claude Opus 5 and 35.2% for Gemini 2.5 Flash-Lite.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $5 / $25 for Claude Opus 5.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 1M.
Side by side
| Claude Opus 5 | Gemini 2.5 Flash-Lite | |
|---|---|---|
| Provider | Anthropic | |
| Noometry Index | 67.8 | 37.0 |
| Released | 2026-07-24 | 2025-06-17 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 128K | 66K |
| Input $ / M tokens | $5 | $0.10 |
| Output $ / M tokens | $25 | $0.40 |
| Results tracked | 57 | 33 |
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Category by category
Coding Claude Opus 5 leads
Claude Opus 5: 67.5 (#5), Gemini 2.5 Flash-Lite: 38.5 (#173)
| Benchmark | Claude Opus 5 | Gemini 2.5 Flash-Lite |
|---|---|---|
| WeirdML | 91.8% | 35.2% |
| LMArena Coding | 1534 | 1373 |
| ALE-Bench | 2,165 | 325.9 |
| DeepSWE | 73.6% | — |
| FrontierCode | 53.4% | — |
| CursorBench | 46.6% | — |
| LMArena WebDev | 1691 | — |
| FrontierSWE | 52% | — |
| SciCode | 56.4% | — |
Agentic & Tool Use Claude Opus 5 leads
Claude Opus 5: 55.6 (#1), Gemini 2.5 Flash-Lite: 28.0 (#96)
| Benchmark | Claude Opus 5 | Gemini 2.5 Flash-Lite |
|---|---|---|
| APEX-Agents | 65.8% | — |
| Berkeley Function Calling Leaderboard | — | 36.9% |
| OSWorld 2.0 | 31.4% | — |
| τ²-bench Banking | 48.7% | — |
| PostTrainBench | 35% | — |
| BALROG | 63.4% | — |
| GBAEval | 79.6% | — |
| GDP.pdf | 24% | — |
| Vending-Bench 2 | 11,182 | — |
Reasoning Claude Opus 5 leads
Claude Opus 5: 77.2 (#4), Gemini 2.5 Flash-Lite: 22.2 (#205)
| Benchmark | Claude Opus 5 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Hard Prompts | 1526 | 1377 |
| DTBench | 97.9% | 62.8% |
| LMCA | 64.5% | 18.1% |
| Epoch Capabilities Index | 162.78 | 133.94 |
| ARC-AGI-2 | 90.4% | — |
| SimpleBench | 80.6% | — |
| Kagi LLM Benchmark | — | 40.5% |
| NYT Connections (extended) | 94.3% | — |
| ARC-AGI-1 | 97.5% | — |
| CritPt | 29.1% | — |
| Chess Puzzles | 42% | — |
| EBR-Bench | 45.7% | — |
| Mystery Game Puzzles | 59% | — |
| Bench to the Future 3 | 0.12 | — |
Math Claude Opus 5 leads
Claude Opus 5: 86.2 (#8), Gemini 2.5 Flash-Lite: 38.0 (#144)
| Benchmark | Claude Opus 5 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Math | 1531 | 1373 |
| FrontierMath (Tiers 1-3) | 85.6% | — |
| FrontierMath Tier 4 | 73.2% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| ProofBench | 99% | — |
| Omni-MATH | — | 48% |
Knowledge Claude Opus 5 leads
Claude Opus 5: 66.8 (#9), Gemini 2.5 Flash-Lite: 32.5 (#210)
| Benchmark | Claude Opus 5 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Expert | 1557 | 1373 |
| GPQA Diamond | 93.9% | — |
| SimpleQA Verified | 59.9% | — |
| MMLU-Pro | — | 53.7% |
| Vectara Hallucination Rate | — | 3.3% |
| GPQA (HELM) | — | 30.9% |
Multimodal Claude Opus 5 leads
Claude Opus 5: 50.8 (#8), Gemini 2.5 Flash-Lite: 29.1 (#114)
| Benchmark | Claude Opus 5 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Vision | 1319 | 1198 |
| VPCT | — | 30% |
| Blueprint-Bench 2 | 30.4% | — |
| Furniture Assembly | 60.8% | — |
| LMArena Document | 1516 | — |
Multilingual Claude Opus 5 leads
Claude Opus 5: 58.8 (#4), Gemini 2.5 Flash-Lite: 49.3 (#134)
| Benchmark | Claude Opus 5 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Non-English | 1501 | 1369 |
| LMArena Chinese | 1574 | 1404 |
| LMArena French | 1519 | 1388 |
| LMArena German | 1524 | 1389 |
| LMArena Japanese | 1516 | 1359 |
| LMArena Korean | 1521 | 1360 |
| LMArena Russian | 1507 | 1373 |
| LMArena Spanish | 1519 | 1396 |
Instruction Following Claude Opus 5 leads
Claude Opus 5: 79.2 (#7), Gemini 2.5 Flash-Lite: 70.0 (#168)
| Benchmark | Claude Opus 5 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Instruction Following | 1517 | 1367 |
| IFEval | — | 81% |
Long Context Claude Opus 5 leads
Claude Opus 5: 46.5 (#21), Gemini 2.5 Flash-Lite: 33.3 (#262)
| Benchmark | Claude Opus 5 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Longer Query | 1515 | 1373 |
| Fiction.LiveBench | — | 47.2% |
Writing & Preference Claude Opus 5 leads
Claude Opus 5: 79.2 (#1), Gemini 2.5 Flash-Lite: 56.8 (#135)
| Benchmark | Claude Opus 5 | Gemini 2.5 Flash-Lite |
|---|---|---|
| LMArena Text | 1507 | 1379 |
| LMArena Creative Writing | 1491 | 1367 |
| LMArena Multi-Turn | 1499 | 1366 |
| EQ-Bench Creative Writing | 2133 | — |
| WildBench | — | 81.8% |
| EQ-Bench 4 | 1385 | — |
Frequently asked questions
Is Claude Opus 5 better than Gemini 2.5 Flash-Lite?
Claude Opus 5 is the stronger model overall, scoring 67.8 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 57× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 5 or Gemini 2.5 Flash-Lite?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Claude Opus 5 lists at $5 and $25.
Is Claude Opus 5 or Gemini 2.5 Flash-Lite better for coding?
Claude Opus 5 scores higher on coding benchmarks: 67.5 versus 38.5 in the Noometry coding category.
Which has the bigger context window?
Gemini 2.5 Flash-Lite does, with 1.05M tokens against 1M.
How many benchmarks do Claude Opus 5 and Gemini 2.5 Flash-Lite share?
23 benchmarks have published results for both models. Claude Opus 5 has 57 scored results on Noometry and Gemini 2.5 Flash-Lite has 33.