Claude Opus 5.5 vs Grok 4.5
Updated October 21, 2026. 89 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Claude Opus 5.5 for coding: it scores 92.2 on the Vibe Coding Index against 75.5 for Grok 4.5.
Pick Grok 4.5 when output tokens cost 3.3x less, or when what matters is LiveBench research or LMArena Search, where it leads.
- Shared results
- 89
- Claude Opus 5.5 only
- 18
- Grok 4.5 only
- 31
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Claude Opus 5.5
Claude Opus 5.5 scores 92.2 against 75.5.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Opus 5.5
Claude Opus 5.5 leads, 57.6 against 38.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Grok 4.5 has a AA Agentic Index result, 41.2.
Directional only
Reasoning
GPQA Diamond
No call
Only Grok 4.5 has a GPQA Diamond result, 92.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Grok 4.5 has a MMLU Pro result, 89.2%.
Directional only
Web design
Design Arena: websites
Claude Opus 5.5
Claude Opus 5.5 leads, 1335 against 1281.
Same board, both measured
General
Vals Index
No call
Only Claude Opus 5.5 has a Vals Index result, 70.2%.
Directional only
Long documents
Listed context window
Claude Opus 5.5
Claude Opus 5.5 takes 1M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Grok 4.5
Claude Opus 5.5 $0.014, Grok 4.5 $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Grok 4.5 has the number, $0.62.
Directional only
At a glance
- Coding index
- Claude Opus 5.5 92.2 from 2 benchmarks, Grok 4.5 75.5 from 2 benchmarks.
- Widest category
- Math, 31.9 points apart on average over 6 shared benchmarks.
- Widest single gap
- Time Horizon Index (Vals AI): Claude Opus 5.5 91.3% against Grok 4.5 6.3%, 85.0 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 5.5 $20.00 against Grok 4.5 $6.00 per million output tokens, 3.3x apart.
- Context window
- Claude Opus 5.5 takes 1M tokens, Grok 4.5 500K.
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 5.5 | Bars | Grok 4.5 | Ties |
|---|---|---|---|---|
| Coding | 17 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 12 | 2 | ||
| Reasoning | 10 | 1 | ||
| Math | 6 | 0 | ||
| Knowledge | 6 | 0 | ||
| Web design | 8 | 0 | ||
| General | 25 | 0 | ||
| All shared boards | 86 | 3 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index170
| Benchmark | Claude Opus 5.5 | Grok 4.5 | Leader |
|---|---|---|---|
| LiveBench coding | 96.3% | 94.3% | Claude Opus 5.5 |
| LMArena WebDev | 1807 | 1553 | Claude Opus 5.5 |
| AA Coding Index | Not measured | 72.4 | Only Grok 4.5 measured |
| LiveCodeBench (Vals AI) | Not measured | 87.3% | Only Grok 4.5 measured |
| SWE-bench Verified (Vals AI) | Not measured | 86.6% | Only Grok 4.5 measured |
| Terminal-Bench 4 (Vals AI) | 65.2% | 8.6% | Claude Opus 5.5 |
| Vibe Code Bench (Vals AI) | 90.3% | 69.0% | Claude Opus 5.5 |
| Code migration (Vals AI) | 66.7% | 36.6% | Claude Opus 5.5 |
| ProgramBench (Vals AI) | 18.5% | 0.0% | Claude Opus 5.5 |
| IOI (Vals AI) | 95.1% | 40.6% | Claude Opus 5.5 |
| Terminal-Bench 2.1 (Vals AI) | 87.6% | 67.8% | Claude Opus 5.5 |
| SWE-bench Multimodal (Vals AI) | 70.2% | Not measured | Only Claude Opus 5.5 measured |
| Vibe Code Bench 1-100 (Vals AI) | 30.4% | Not measured | Only Claude Opus 5.5 measured |
| SkillsBench (Vals AI) | Not measured | 66.0% | Only Grok 4.5 measured |
| CyberBench (Vals AI) | 74.6% | 71.0% | Claude Opus 5.5 |
| SciCode | 66.9% | 55.0% | Claude Opus 5.5 |
| FrontierCode | 54.6% | 42.4% | Claude Opus 5.5 |
| FrontierSWE | 62.3% | Not measured | Only Claude Opus 5.5 measured |
| WeirdML | Not measured | 46.4% | Only Grok 4.5 measured |
| MirrorCode | 77.4% | Not measured | Only Claude Opus 5.5 measured |
| ALE-Bench | 2147.4 | 1309.3 | Claude Opus 5.5 |
| LMArena Text: coding | 1545 | 1474 | Claude Opus 5.5 |
| LMArena Text: software and IT | 1538 | 1471 | Claude Opus 5.5 |
| LMArena WebDev: React | 1855 | 1556 | Claude Opus 5.5 |
| LMArena WebDev: HTML | 1753 | 1567 | Claude Opus 5.5 |
| LMArena WebDev: from an image | 1753 | 1562 | Claude Opus 5.5 |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Opus 5.5 | Grok 4.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 57.6 | 38.8 | Claude Opus 5.5 |
| Epoch Capabilities Index | 168.8 | 154.1 | Claude Opus 5.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index122
| Benchmark | Claude Opus 5.5 | Grok 4.5 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 41.2 | Only Grok 4.5 measured |
| Design Arena: agents building web apps | 1316 | 1217 | Claude Opus 5.5 |
| Design Arena: agents building full-stack apps | Not measured | 1249 | Only Grok 4.5 measured |
| Design Arena: agents building mobile apps | 1311 | 1221 | Claude Opus 5.5 |
| Design Arena: agents building Android apps | Not measured | 1242 | Only Grok 4.5 measured |
| Design Arena: agents building Godot games | Not measured | 1229 | Only Grok 4.5 measured |
| Design Arena: agents building games | Not measured | 1235 | Only Grok 4.5 measured |
| Design Arena: HTML slides | Not measured | 1204 | Only Grok 4.5 measured |
| Design Arena: PowerPoint slides | Not measured | 1232 | Only Grok 4.5 measured |
| Design Arena: spreadsheets | 1359 | Not measured | Only Claude Opus 5.5 measured |
| LiveBench research | 85.0% | 85.9% | Grok 4.5 |
| LiveBench browser | 80.0% | 44.0% | Claude Opus 5.5 |
| LiveBench long agentic | 85.0% | 27.9% | Claude Opus 5.5 |
| SREBench (Vals AI) | 33.6% | 0.8% | Claude Opus 5.5 |
| Finance Agent (Vals AI) | 58.6% | 48.4% | Claude Opus 5.5 |
| Tax Agent Bench (Vals AI) | 45.6% | 24.9% | Claude Opus 5.5 |
| Legal Research Bench (Vals AI) | 50.5% | 38.0% | Claude Opus 5.5 |
| Harvey's Legal Agent Benchmark (Vals AI) | 9.2% | Not measured | Only Claude Opus 5.5 measured |
| Excel Modeling Benchmark (Vals AI) | 75.9% | 52.9% | Claude Opus 5.5 |
| BioMysteryBench (Vals AI) | 79.3% | Not measured | Only Claude Opus 5.5 measured |
| Terminal-Bench-Science (Vals AI) | 47.1% | Not measured | Only Claude Opus 5.5 measured |
| Vals Science Index | 58.7% | Not measured | Only Claude Opus 5.5 measured |
| Time Horizon Index (Vals AI) | 91.3% | 6.3% | Claude Opus 5.5 |
| CUA-bench (Vals AI) | 14.0% | Not measured | Only Claude Opus 5.5 measured |
| Robo-bench (Vals AI) | 14.6% | Not measured | Only Claude Opus 5.5 measured |
| APEX-Agents | 73.5% | 56.2% | Claude Opus 5.5 |
| Remote Labor Index | 21.3% | Not measured | Only Claude Opus 5.5 measured |
| PostTrainBench | Not measured | 23.4% | Only Grok 4.5 measured |
| SpireClimb | 3.3% | Not measured | Only Claude Opus 5.5 measured |
| Vending-Bench 2 | $9,235 | $3,887 | Claude Opus 5.5 |
| LMArena Search | 1213 | 1216 | Grok 4.5 |
| Neither model has a result on the other 8 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index101
| Benchmark | Claude Opus 5.5 | Grok 4.5 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 92.9% | Only Grok 4.5 measured |
| LiveBench reasoning | 92.2% | 87.2% | Claude Opus 5.5 |
| MysteryMechanism (Vals AI) | 49.5% | Not measured | Only Claude Opus 5.5 measured |
| MMMU Pro (Vals AI) | Not measured | 61.8% | Only Grok 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 93.1% | Only Grok 4.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | 61.4% | 42.7% | Claude Opus 5.5 |
| GPQA Diamond (Epoch AI run) | 90.6% | 93.4% | Grok 4.5 |
| ARC-AGI | 98.5% | 87.2% | Claude Opus 5.5 |
| ARC-AGI-2 | 93.3% | 52.6% | Claude Opus 5.5 |
| SimpleBench | Not measured | 70.0% | Only Grok 4.5 measured |
| Chess puzzles | 67.0% | 35.0% | Claude Opus 5.5 |
| Mystery game puzzles | 71.0% | Not measured | Only Claude Opus 5.5 measured |
| EBR-bench | 71.4% | Not measured | Only Claude Opus 5.5 measured |
| LMArena Text: hard prompts | 1536 | 1462 | Claude Opus 5.5 |
| LMArena Text: expert | 1549 | 1465 | Claude Opus 5.5 |
| LMArena Text: hard prompts in English | 1535 | 1464 | Claude Opus 5.5 |
| LMArena Vision: diagrams | 1345 | 1304 | Claude Opus 5.5 |
| LMArena Vision: homework | 1362 | 1295 | Claude Opus 5.5 |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Opus 5.5 | Grok 4.5 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 97.8% | Claude Opus 5.5 |
| FrontierMath, tiers 1 to 3 | 91.2% | 57.2% | Claude Opus 5.5 |
| FrontierMath, tier 4 | 95.0% | 24.4% | Claude Opus 5.5 |
| ProofBench | 100.0% | 31.0% | Claude Opus 5.5 |
| LMArena Text: math | 1518 | 1460 | Claude Opus 5.5 |
| LMArena Text: mathematical work | 1516 | 1482 | Claude Opus 5.5 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Opus 5.5 | Grok 4.5 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 89.2% | Only Grok 4.5 measured |
| LegalBench (Vals AI) | Not measured | 86.0% | Only Grok 4.5 measured |
| CorpFin (Vals AI) | Not measured | 67.4% | Only Grok 4.5 measured |
| TaxEval (Vals AI) | Not measured | 71.7% | Only Grok 4.5 measured |
| MortgageTax (Vals AI) | Not measured | 61.8% | Only Grok 4.5 measured |
| MedCode (Vals AI) | 49.8% | 43.3% | Claude Opus 5.5 |
| SimpleQA Verified | 72.2% | 48.3% | Claude Opus 5.5 |
| LMArena Text: science | 1524 | 1464 | Claude Opus 5.5 |
| LMArena Text: medicine and healthcare | 1509 | 1440 | Claude Opus 5.5 |
| LMArena Text: legal and government | 1518 | 1463 | Claude Opus 5.5 |
| LMArena Text: business and finance | 1494 | 1441 | Claude Opus 5.5 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Claude Opus 5.5 | Grok 4.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1335 | 1281 | Claude Opus 5.5 |
| Design Arena: UI components | 1390 | 1279 | Claude Opus 5.5 |
| Design Arena: game dev | 1457 | 1263 | Claude Opus 5.5 |
| Design Arena: data viz | 1397 | 1267 | Claude Opus 5.5 |
| Design Arena: 3D | 1477 | 1257 | Claude Opus 5.5 |
| Design Arena: all code categories | 1390 | 1276 | Claude Opus 5.5 |
| Design Arena: SVG | 1332 | 1215 | Claude Opus 5.5 |
| Design Arena: ASCII art | Not measured | 1257 | Only Grok 4.5 measured |
| LiveBench design | 86.9% | 78.1% | Claude Opus 5.5 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index250
| Benchmark | Claude Opus 5.5 | Grok 4.5 | Leader |
|---|---|---|---|
| Vals Index | 70.2% | Not measured | Only Claude Opus 5.5 measured |
| LiveBench data analysis | 80.3% | 73.0% | Claude Opus 5.5 |
| Public Benefits Bench (Vals AI) | 70.6% | Not measured | Only Claude Opus 5.5 measured |
| SAGE (Vals AI) | 45.8% | 35.0% | Claude Opus 5.5 |
| MedScribe (Vals AI) | 91.4% | 86.9% | Claude Opus 5.5 |
| Vals Multimodal Index | Not measured | 63.4% | Only Grok 4.5 measured |
| Long context reasoning (AA-LCR) | 84.7% | 79.3% | Claude Opus 5.5 |
| DTBench | 98.9% | 96.5% | Claude Opus 5.5 |
| LMCA | 68.2% | 45.2% | Claude Opus 5.5 |
| Surface Evolver Bench | Not measured | 74.4% | Only Grok 4.5 measured |
| Furniture assembly | 83.3% | 22.5% | Claude Opus 5.5 |
| LMArena Text | 1516 | 1448 | Claude Opus 5.5 |
| LMArena Text: instruction following | 1537 | 1445 | Claude Opus 5.5 |
| LMArena Text: creative writing | 1535 | 1442 | Claude Opus 5.5 |
| LMArena Vision | 1321 | 1287 | Claude Opus 5.5 |
| LMArena Text: English | 1519 | 1453 | Claude Opus 5.5 |
| LMArena Text: non-English | 1507 | 1440 | Claude Opus 5.5 |
| LMArena Text: Chinese | 1582 | 1495 | Claude Opus 5.5 |
| LMArena Text: German | Not measured | 1448 | Only Grok 4.5 measured |
| LMArena Text: Japanese | 1534 | 1430 | Claude Opus 5.5 |
| LMArena Text: Korean | Not measured | 1406 | Only Grok 4.5 measured |
| LMArena Text: French | 1493 | 1457 | Claude Opus 5.5 |
| LMArena Text: Spanish | 1508 | 1451 | Claude Opus 5.5 |
| LMArena Text: Russian | 1517 | 1449 | Claude Opus 5.5 |
| LMArena Text: Polish | Not measured | 1432 | Only Grok 4.5 measured |
| LMArena Text: multi-turn | 1501 | 1456 | Claude Opus 5.5 |
| LMArena Text: longer queries | 1532 | 1462 | Claude Opus 5.5 |
| LMArena Text: writing and language | 1532 | 1445 | Claude Opus 5.5 |
| LMArena Text: entertainment and media | 1515 | 1434 | Claude Opus 5.5 |
| LMArena Vision: English | 1317 | 1285 | Claude Opus 5.5 |
| LMArena Vision: Chinese | Not measured | 1345 | Only Grok 4.5 measured |
| LMArena Vision: reading text | 1326 | 1293 | Claude Opus 5.5 |
| LMArena Vision: humor | Not measured | 1276 | Only Grok 4.5 measured |
| LMArena Vision: creative writing | 1320 | 1293 | Claude Opus 5.5 |
| LMArena Document | Not measured | 1452 | Only Grok 4.5 measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 5.5 | Grok 4.5 | 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
Grok 4.5 costs less
Repository review
50K input + 3K output tokens
Grok 4.5 costs less
Agent loop
200K input + 10K output tokens
Grok 4.5 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 5.5 | SpaceXAI Grok 4.5 |
|---|---|---|
| Maker | Anthropic | xAI |
| Weights | No public weights listed | No public weights listed |
| Released | September 22, 2026 | July 8, 2026 |
| Context window | 1M | 500K |
| Input $/Mtok | $4.00 | $2.00 |
| Output $/Mtok | $20.00 | $6.00 |
| Coding index | 92.2 | 75.5 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | Not computable | $0.62 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 5.5 better than Grok 4.5 for coding?
Pick Claude Opus 5.5 for coding: it scores 92.2 on the Vibe Coding Index against 75.5 for Grok 4.5. Pick Grok 4.5 when output tokens cost 3.3x less, or when what matters is LiveBench research or LMArena Search, where it leads.
Which is cheaper, Claude Opus 5.5 or Grok 4.5?
Claude Opus 5.5 costs $4.00 per million input tokens and $20.00 per million output tokens; Grok 4.5 costs $2.00 and $6.00. Cost per solved task is known for Grok 4.5 only.
Which has the bigger context window, Claude Opus 5.5 or Grok 4.5?
Claude Opus 5.5, with 1M tokens against 500K.
How many benchmarks is the Claude Opus 5.5 vs Grok 4.5 comparison based on?
89 benchmarks have a result for both models as of October 21, 2026. Claude Opus 5.5's coding index rests on 2 independent benchmarks and Grok 4.5's on 2. Where only one model has a result, the page says so instead of naming a winner.