Claude Opus 4.7 vs Gemini 2.5 Pro
Claude Opus 4.7 leads Gemini 2.5 Pro on coding, 67.5 to 19.1 on the Vibe Coding Index, and Gemini 2.5 Pro costs 2.5x less per output token ($10.00 vs $25.00 per million). Updated October 22, 2026; 73 benchmarks have a result for both.
Claude Opus 4.7 or Gemini 2.5 Pro: which to pick
Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro.
Pick Gemini 2.5 Pro for output tokens 2.5x cheaper ($10.00 vs $25.00 per million) and a lower cost per solved task ($0.64 against $2.95).
- Shared results
- 73
- Claude Opus 4.7 only
- 30
- Gemini 2.5 Pro only
- 17
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
Claude Opus 4.7
Claude Opus 4.7 scores 67.5 against 19.1.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Opus 4.7
Claude Opus 4.7 leads, 40.7 against 16.1.
Same board, both measured
Agentic work
AA Agentic Index
Claude Opus 4.7
Claude Opus 4.7 leads, 38.6 against 1.6.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.7 has a GPQA Diamond result, 90.2%.
Directional only
Math
AIME
No call
Only Claude Opus 4.7 has a AIME result, 96.3%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.7 has a MMLU Pro result, 89.9%.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 2.5 Pro has a Design Arena: websites result, 1167.
Directional only
Long documents
Listed context window
Gemini 2.5 Pro
Gemini 2.5 Pro takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 2.5 Pro
Claude Opus 4.7 $0.018, Gemini 2.5 Pro $0.0063 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 2.5 Pro
Claude Opus 4.7 $2.95, Gemini 2.5 Pro $0.64.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Opus 4.7 67.5 from 4 benchmarks, Gemini 2.5 Pro 19.1 from 3 benchmarks.
- Widest category
- Agentic work, 45.4 points apart on average over 3 shared benchmarks.
- Widest single gap
- ARC-AGI-2: Claude Opus 4.7 75.8% against Gemini 2.5 Pro 4.9%, 71.0 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.7 $25.00 against Gemini 2.5 Pro $10.00 per million output tokens, 2.5x apart.
- Context window
- Claude Opus 4.7 takes 1M tokens, Gemini 2.5 Pro 1.05M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Claude Opus 4.7 | Bars | Gemini 2.5 Pro | Ties |
|---|---|---|---|---|
| Coding | 12 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 3 | 0 | ||
| Reasoning | 11 | 0 | ||
| Math | 5 | 0 | ||
| Knowledge | 8 | 1 | ||
| General | 30 | 1 | ||
| All shared boards | 71 | 2 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index120
| Benchmark | Claude Opus 4.7 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 53.6% | Only Gemini 2.5 Pro measured |
| LMArena WebDev | 1558 | 1226 | Claude Opus 4.7 |
| AA Coding Index | 73.6 | 33.3 | Claude Opus 4.7 |
| LiveCodeBench (Vals AI) | 85.1% | Not measured | Only Claude Opus 4.7 measured |
| SWE-bench Verified (Vals AI) | 82.0% | 54.4% | Claude Opus 4.7 |
| Vibe Code Bench (Vals AI) | 71.0% | 0.4% | Claude Opus 4.7 |
| Code migration (Vals AI) | 43.9% | Not measured | Only Claude Opus 4.7 measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Claude Opus 4.7 measured |
| Terminal-Bench 2.1 (Vals AI) | 68.5% | Not measured | Only Claude Opus 4.7 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 80.1% | Only Gemini 2.5 Pro measured |
| SciCode | Not measured | 46.3% | Only Gemini 2.5 Pro measured |
| Terminal-Bench Hard (Artificial Analysis run) | 54.5% | 26.5% | Claude Opus 4.7 |
| Terminal-Bench | 80.2% | 32.6% | Claude Opus 4.7 |
| FrontierCode | 38.5% | Not measured | Only Claude Opus 4.7 measured |
| GSO-Bench | 44.1% | 3.9% | Claude Opus 4.7 |
| WeirdML | 76.4% | 54.0% | Claude Opus 4.7 |
| MirrorCode | 31.1% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: coding | 1519 | 1452 | Claude Opus 4.7 |
| LMArena Text: software and IT | 1516 | 1459 | Claude Opus 4.7 |
| LMArena WebDev: React | 1560 | Not measured | Only Claude Opus 4.7 measured |
| LMArena WebDev: HTML | 1554 | 1235 | Claude Opus 4.7 |
| LMArena WebDev: from an image | 1577 | 1285 | Claude Opus 4.7 |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Opus 4.7 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 40.7 | 16.1 | Claude Opus 4.7 |
| Epoch Capabilities Index | 156.8 | 145.1 | Claude Opus 4.7 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Claude Opus 4.7 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| AA Agentic Index | 38.6 | 1.6 | Claude Opus 4.7 |
| Finance Agent (Vals AI) | 51.5% | Not measured | Only Claude Opus 4.7 measured |
| Tax Agent Bench (Vals AI) | 23.7% | Not measured | Only Claude Opus 4.7 measured |
| Legal Research Bench (Vals AI) | 38.5% | Not measured | Only Claude Opus 4.7 measured |
| Excel Modeling Benchmark (Vals AI) | 63.7% | Not measured | Only Claude Opus 4.7 measured |
| τ²-Bench Telecom | 88.6% | 54.1% | Claude Opus 4.7 |
| APEX-Agents | 49.2% | Not measured | Only Claude Opus 4.7 measured |
| GDPval | Not measured | 23.3% | Only Gemini 2.5 Pro measured |
| OSWorld 2.0 | 18.2% | Not measured | Only Claude Opus 4.7 measured |
| DeepResearch Bench | Not measured | 41.5% | Only Gemini 2.5 Pro measured |
| PostTrainBench | 28.6% | Not measured | Only Claude Opus 4.7 measured |
| Vending-Bench 2 | $10,937 | $574 | Claude Opus 4.7 |
| LMArena Search | 1230 | Not measured | Only Claude Opus 4.7 measured |
| BrowseComp-Plus | Not measured | 29.5% | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
| Benchmark | Claude Opus 4.7 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| GPQA Diamond | 90.2% | Not measured | Only Claude Opus 4.7 measured |
| MMMU Pro (Vals AI) | 85.5% | Not measured | Only Claude Opus 4.7 measured |
| GPQA Diamond (Artificial Analysis run) | 91.4% | 84.4% | Claude Opus 4.7 |
| Humanity's Last Exam (Artificial Analysis run) | 42.3% | 22.5% | Claude Opus 4.7 |
| GPQA Diamond (Epoch AI run) | 90.2% | 85.3% | Claude Opus 4.7 |
| ARC-AGI | 93.5% | 41.0% | Claude Opus 4.7 |
| ARC-AGI-2 | 75.8% | 4.9% | Claude Opus 4.7 |
| SimpleBench | 61.7% | Not measured | Only Claude Opus 4.7 measured |
| Chess puzzles | 41.0% | Not measured | Only Claude Opus 4.7 measured |
| Mystery game puzzles | 28.0% | Not measured | Only Claude Opus 4.7 measured |
| EBR-bench | 19.0% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: hard prompts | 1506 | 1455 | Claude Opus 4.7 |
| LMArena Text: expert | 1521 | 1452 | Claude Opus 4.7 |
| LMArena Text: hard prompts in English | 1508 | 1453 | Claude Opus 4.7 |
| LMArena Vision: diagrams | 1336 | 1274 | Claude Opus 4.7 |
| LMArena Vision: homework | 1337 | 1281 | Claude Opus 4.7 |
| Kagi LLM Benchmark | 80.7% | 70.3% | Claude Opus 4.7 |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Claude Opus 4.7 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| AIME | 96.3% | Not measured | Only Claude Opus 4.7 measured |
| AA Math Index | Not measured | 87.7 | Only Gemini 2.5 Pro measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 87.7% | Only Gemini 2.5 Pro measured |
| OTIS Mock AIME | 97.8% | 84.7% | Claude Opus 4.7 |
| FrontierMath, tiers 1 to 3 | 70.2% | 24.6% | Claude Opus 4.7 |
| FrontierMath, tier 4 | 31.7% | 0.0% | Claude Opus 4.7 |
| ProofBench | 54.0% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: math | 1498 | 1450 | Claude Opus 4.7 |
| LMArena Text: mathematical work | 1509 | 1454 | Claude Opus 4.7 |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index81
| Benchmark | Claude Opus 4.7 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| MMLU Pro | 89.9% | Not measured | Only Claude Opus 4.7 measured |
| LegalBench (Vals AI) | 85.3% | Not measured | Only Claude Opus 4.7 measured |
| CaseLaw (Vals AI) | 68.4% | 63.9% | Claude Opus 4.7 |
| CorpFin (Vals AI) | 66.1% | 60.8% | Claude Opus 4.7 |
| TaxEval (Vals AI) | 75.3% | Not measured | Only Claude Opus 4.7 measured |
| MortgageTax (Vals AI) | 70.3% | 68.9% | Claude Opus 4.7 |
| MedCode (Vals AI) | 54.9% | 50.6% | Claude Opus 4.7 |
| MMLU Pro (Artificial Analysis run) | Not measured | 86.2% | Only Gemini 2.5 Pro measured |
| SimpleQA Verified | 51.7% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: science | 1508 | 1480 | Claude Opus 4.7 |
| LMArena Text: medicine and healthcare | 1495 | 1476 | Claude Opus 4.7 |
| LMArena Text: legal and government | 1504 | 1480 | Claude Opus 4.7 |
| LMArena Text: business and finance | 1490 | 1439 | Claude Opus 4.7 |
| FACTS Benchmark Suite | 45.5% | 61.5% | Gemini 2.5 Pro |
| Neither model has a result on the other 4 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Claude Opus 4.7 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1167 | Only Gemini 2.5 Pro measured |
| Design Arena: UI components | Not measured | 1137 | Only Gemini 2.5 Pro measured |
| Design Arena: game dev | Not measured | 1111 | Only Gemini 2.5 Pro measured |
| Design Arena: data viz | Not measured | 1222 | Only Gemini 2.5 Pro measured |
| Design Arena: 3D | Not measured | 1080 | Only Gemini 2.5 Pro measured |
| Design Arena: all code categories | Not measured | 1152 | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index301
| Benchmark | Claude Opus 4.7 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 56.1% | 41.9% | Claude Opus 4.7 |
| MedScribe (Vals AI) | 83.0% | 73.5% | Claude Opus 4.7 |
| Vals Multimodal Index | 67.4% | Not measured | Only Claude Opus 4.7 measured |
| IFBench | 58.6% | 48.7% | Claude Opus 4.7 |
| Long context reasoning (AA-LCR) | 78.7% | 69.0% | Claude Opus 4.7 |
| DTBench | 94.7% | 82.4% | Claude Opus 4.7 |
| LMCA | 52.2% | 34.8% | Claude Opus 4.7 |
| Creative writing (Lech Mazur) | Not measured | 83.8% | Only Gemini 2.5 Pro measured |
| Furniture assembly | 33.3% | Not measured | Only Claude Opus 4.7 measured |
| ExploitBench | 26.5% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text | 1490 | 1458 | Claude Opus 4.7 |
| LMArena Text: instruction following | 1498 | 1437 | Claude Opus 4.7 |
| LMArena Text: creative writing | 1486 | 1454 | Claude Opus 4.7 |
| LMArena Vision | 1317 | 1263 | Claude Opus 4.7 |
| LMArena Text: English | 1496 | 1458 | Claude Opus 4.7 |
| LMArena Text: non-English | 1480 | 1452 | Claude Opus 4.7 |
| LMArena Text: Chinese | 1531 | 1507 | Claude Opus 4.7 |
| LMArena Text: German | 1495 | 1487 | Claude Opus 4.7 |
| LMArena Text: Japanese | 1474 | 1461 | Claude Opus 4.7 |
| LMArena Text: Korean | 1464 | 1434 | Claude Opus 4.7 |
| LMArena Text: French | 1503 | 1473 | Claude Opus 4.7 |
| LMArena Text: Spanish | 1494 | 1474 | Claude Opus 4.7 |
| LMArena Text: Russian | 1494 | 1461 | Claude Opus 4.7 |
| LMArena Text: Polish | 1489 | 1479 | Claude Opus 4.7 |
| LMArena Text: multi-turn | 1505 | 1453 | Claude Opus 4.7 |
| LMArena Text: longer queries | 1505 | 1449 | Claude Opus 4.7 |
| LMArena Text: writing and language | 1492 | 1454 | Claude Opus 4.7 |
| LMArena Text: entertainment and media | 1474 | 1441 | Claude Opus 4.7 |
| LMArena Vision: English | 1322 | 1261 | Claude Opus 4.7 |
| LMArena Vision: Chinese | 1371 | 1300 | Claude Opus 4.7 |
| LMArena Vision: reading text | 1327 | 1270 | Claude Opus 4.7 |
| LMArena Vision: humor | 1309 | 1262 | Claude Opus 4.7 |
| LMArena Vision: captioning | Not measured | 1304 | Only Gemini 2.5 Pro measured |
| LMArena Vision: recognizing things | 1278 | 1283 | Gemini 2.5 Pro |
| LMArena Vision: creative writing | 1326 | 1265 | Claude Opus 4.7 |
| LMArena Document | 1495 | 1421 | Claude Opus 4.7 |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.7 | Gemini 2.5 Pro | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Gemini 2.5 Pro costs less
Repository review
50K input + 3K output tokens
Gemini 2.5 Pro costs less
Agent loop
200K input + 10K output tokens
Gemini 2.5 Pro costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Anthropic Claude Opus 4.7 | Google Gemini 2.5 Pro |
|---|---|---|
| Maker | Anthropic | |
| Weights | No public weights listed | No public weights listed |
| Released | April 16, 2026 | June 17, 2025 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $5.00 | $1.25 |
| Output $/Mtok | $25.00 | $10.00 |
| Coding index | 67.5 | 19.1 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | $2.95 | $0.64 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.7 better than Gemini 2.5 Pro for coding?
Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro for output tokens 2.5x cheaper ($10.00 vs $25.00 per million) and a lower cost per solved task ($0.64 against $2.95).
Which is cheaper, Claude Opus 4.7 or Gemini 2.5 Pro?
Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Gemini 2.5 Pro costs $1.25 and $10.00. Per solved SWE-bench Verified task, Claude Opus 4.7 costs $2.95 and Gemini 2.5 Pro $0.64.
Which has the bigger context window, Claude Opus 4.7 or Gemini 2.5 Pro?
Gemini 2.5 Pro, with 1.05M tokens against 1M.
How many benchmarks is the Claude Opus 4.7 vs Gemini 2.5 Pro comparison based on?
73 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and Gemini 2.5 Pro's on 3. Where only one model has a result, the page says so instead of naming a winner.