Claude Sonnet 5.5 vs Gemini 3.8 Flash
Updated October 21, 2026. 94 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 Sonnet 5.5 for coding: it scores 88.9 on the Vibe Coding Index against 70.5 for Gemini 3.8 Flash.
Pick Gemini 3.8 Flash when output tokens cost 2.4x less, or when the context window is larger, 1.05M against 1M tokens.
- Shared results
- 94
- Claude Sonnet 5.5 only
- 1
- Gemini 3.8 Flash only
- 32
- 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 Sonnet 5.5
Claude Sonnet 5.5 scores 88.9 against 70.5.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Sonnet 5.5
Claude Sonnet 5.5 leads, 56.0 against 40.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 3.8 Flash has a AA Agentic Index result, 40.2.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.8 Flash has a GPQA Diamond result, 94.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.8 Flash has a MMLU Pro result, 90.2%.
Directional only
Web design
Design Arena: websites
Claude Sonnet 5.5
Claude Sonnet 5.5 leads, 1326 against 1301.
Same board, both measured
General
Vals Index
Claude Sonnet 5.5
Claude Sonnet 5.5 leads, 70.8% against 56.0%.
Same board, both measured
Long documents
Listed context window
Gemini 3.8 Flash
Gemini 3.8 Flash takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.8 Flash
Claude Sonnet 5.5 $0.0070, Gemini 3.8 Flash $0.0029 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.8 Flash has the number, $2.74.
Directional only
At a glance
- Coding index
- Claude Sonnet 5.5 88.9 from 2 benchmarks, Gemini 3.8 Flash 70.5 from 2 benchmarks.
- Widest category
- Math, 23.2 points apart on average over 6 shared benchmarks.
- Widest single gap
- FrontierMath, tier 4: Claude Sonnet 5.5 80.5% against Gemini 3.8 Flash 22.0%, 58.5 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 5.5 $10.00 against Gemini 3.8 Flash $4.125 per million output tokens, 2.4x apart.
- Context window
- Claude Sonnet 5.5 takes 1M tokens, Gemini 3.8 Flash 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 Sonnet 5.5 | Bars | Gemini 3.8 Flash | Ties |
|---|---|---|---|---|
| Coding | 18 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 15 | 2 | ||
| Reasoning | 7 | 4 | ||
| Math | 4 | 2 | ||
| Knowledge | 1 | 5 | ||
| Web design | 7 | 0 | ||
| General | 10 | 16 | ||
| All shared boards | 64 | 30 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index181
| Benchmark | Claude Sonnet 5.5 | Gemini 3.8 Flash | Leader |
|---|---|---|---|
| LiveBench coding | 94.7% | 82.2% | Claude Sonnet 5.5 |
| LMArena WebDev | 1768 | 1585 | Claude Sonnet 5.5 |
| AA Coding Index | Not measured | 76.3 | Only Gemini 3.8 Flash measured |
| LiveCodeBench (Vals AI) | Not measured | 89.5% | Only Gemini 3.8 Flash measured |
| SWE-bench Verified (Vals AI) | Not measured | 80.0% | Only Gemini 3.8 Flash measured |
| Terminal-Bench 4 (Vals AI) | 64.1% | 19.7% | Claude Sonnet 5.5 |
| Vibe Code Bench (Vals AI) | 92.4% | 78.7% | Claude Sonnet 5.5 |
| Code migration (Vals AI) | 69.8% | 36.5% | Claude Sonnet 5.5 |
| ProgramBench (Vals AI) | 6.5% | 1.0% | Claude Sonnet 5.5 |
| IOI (Vals AI) | 83.1% | 56.9% | Claude Sonnet 5.5 |
| Terminal-Bench 2.1 (Vals AI) | 83.2% | 81.3% | Claude Sonnet 5.5 |
| SWE-bench Multimodal (Vals AI) | 58.3% | 40.8% | Claude Sonnet 5.5 |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 18.8% | Only Gemini 3.8 Flash measured |
| SkillsBench (Vals AI) | Not measured | 58.0% | Only Gemini 3.8 Flash measured |
| CyberBench (Vals AI) | 59.6% | 43.8% | Claude Sonnet 5.5 |
| SciCode | 61.0% | 56.6% | Claude Sonnet 5.5 |
| FrontierCode | 52.1% | 41.2% | Claude Sonnet 5.5 |
| FrontierSWE | 61.9% | 19.6% | Claude Sonnet 5.5 |
| WeirdML | Not measured | 84.8% | Only Gemini 3.8 Flash measured |
| ALE-Bench | 1819.1 | 1269.7 | Claude Sonnet 5.5 |
| LMArena Text: coding | 1513 | 1508 | Claude Sonnet 5.5 |
| LMArena Text: software and IT | 1504 | 1507 | Gemini 3.8 Flash |
| LMArena WebDev: React | 1817 | 1577 | Claude Sonnet 5.5 |
| LMArena WebDev: HTML | 1741 | 1616 | Claude Sonnet 5.5 |
| LMArena WebDev: from an image | 1737 | 1593 | Claude Sonnet 5.5 |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Sonnet 5.5 | Gemini 3.8 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 56.0 | 40.9 | Claude Sonnet 5.5 |
| Epoch Capabilities Index | 166.2 | 157.4 | Claude Sonnet 5.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index152
| Benchmark | Claude Sonnet 5.5 | Gemini 3.8 Flash | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 40.2 | Only Gemini 3.8 Flash measured |
| Design Arena: agents building web apps | 1303 | 1238 | Claude Sonnet 5.5 |
| Design Arena: agents building full-stack apps | Not measured | 1244 | Only Gemini 3.8 Flash measured |
| Design Arena: agents building mobile apps | 1265 | 1236 | Claude Sonnet 5.5 |
| Design Arena: agents building Android apps | Not measured | 1078 | Only Gemini 3.8 Flash measured |
| Design Arena: agents building Godot games | Not measured | 1273 | Only Gemini 3.8 Flash measured |
| Design Arena: PowerPoint slides | Not measured | 1178 | Only Gemini 3.8 Flash measured |
| Design Arena: spreadsheets | 1245 | 1052 | Claude Sonnet 5.5 |
| LiveBench research | 83.6% | 79.1% | Claude Sonnet 5.5 |
| LiveBench browser | 84.0% | 64.0% | Claude Sonnet 5.5 |
| LiveBench long agentic | 78.8% | 30.1% | Claude Sonnet 5.5 |
| SREBench (Vals AI) | 30.1% | 11.1% | Claude Sonnet 5.5 |
| Finance Agent (Vals AI) | 58.1% | 61.4% | Gemini 3.8 Flash |
| Tax Agent Bench (Vals AI) | 42.0% | 32.1% | Claude Sonnet 5.5 |
| Legal Research Bench (Vals AI) | 48.1% | 38.9% | Claude Sonnet 5.5 |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.4% | 12.1% | Gemini 3.8 Flash |
| Excel Modeling Benchmark (Vals AI) | 75.7% | 72.2% | Claude Sonnet 5.5 |
| BioMysteryBench (Vals AI) | 81.1% | 62.2% | Claude Sonnet 5.5 |
| Terminal-Bench-Science (Vals AI) | 47.1% | 8.6% | Claude Sonnet 5.5 |
| Vals Science Index | 59.1% | 35.8% | Claude Sonnet 5.5 |
| Time Horizon Index (Vals AI) | Not measured | 18.8% | Only Gemini 3.8 Flash measured |
| CUA-bench (Vals AI) | Not measured | 4.2% | Only Gemini 3.8 Flash measured |
| APEX-Agents | 75.5% | 64.3% | Claude Sonnet 5.5 |
| Remote Labor Index | Not measured | 5.8% | Only Gemini 3.8 Flash measured |
| SpireClimb | 1.3% | Not measured | Only Claude Sonnet 5.5 measured |
| Vending-Bench 2 | $11,165 | $5,094 | Claude Sonnet 5.5 |
| Neither model has a result on the other 13 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index74
| Benchmark | Claude Sonnet 5.5 | Gemini 3.8 Flash | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 94.4% | Only Gemini 3.8 Flash measured |
| LiveBench reasoning | 91.6% | 89.3% | Claude Sonnet 5.5 |
| MysteryMechanism (Vals AI) | 49.1% | 36.5% | Claude Sonnet 5.5 |
| MMMU Pro (Vals AI) | Not measured | 89.1% | Only Gemini 3.8 Flash measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 95.3% | Only Gemini 3.8 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | 55.0% | 47.8% | Claude Sonnet 5.5 |
| GPQA Diamond (Epoch AI run) | 95.6% | 95.4% | Claude Sonnet 5.5 |
| ARC-AGI | Not measured | 98.5% | Only Gemini 3.8 Flash measured |
| ARC-AGI-2 | Not measured | 89.2% | Only Gemini 3.8 Flash measured |
| Chess puzzles | 59.0% | 58.0% | Claude Sonnet 5.5 |
| Mystery game puzzles | 65.0% | 47.0% | Claude Sonnet 5.5 |
| LMArena Text: hard prompts | 1494 | 1509 | Gemini 3.8 Flash |
| LMArena Text: expert | 1531 | 1526 | Claude Sonnet 5.5 |
| LMArena Text: hard prompts in English | 1502 | 1504 | Gemini 3.8 Flash |
| LMArena Vision: diagrams | 1329 | 1345 | Gemini 3.8 Flash |
| LMArena Vision: homework | 1331 | 1351 | Gemini 3.8 Flash |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | Claude Sonnet 5.5 | Gemini 3.8 Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 98.9% | Claude Sonnet 5.5 |
| FrontierMath, tiers 1 to 3 | 88.8% | 68.4% | Claude Sonnet 5.5 |
| FrontierMath, tier 4 | 80.5% | 22.0% | Claude Sonnet 5.5 |
| ProofBench | 100.0% | 48.0% | Claude Sonnet 5.5 |
| LMArena Text: math | 1497 | 1532 | Gemini 3.8 Flash |
| LMArena Text: mathematical work | 1510 | 1519 | Gemini 3.8 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Claude Sonnet 5.5 | Gemini 3.8 Flash | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 90.2% | Only Gemini 3.8 Flash measured |
| LegalBench (Vals AI) | Not measured | 87.0% | Only Gemini 3.8 Flash measured |
| TaxEval (Vals AI) | Not measured | 74.5% | Only Gemini 3.8 Flash measured |
| MortgageTax (Vals AI) | Not measured | 65.3% | Only Gemini 3.8 Flash measured |
| MedCode (Vals AI) | 52.9% | 48.1% | Claude Sonnet 5.5 |
| SimpleQA Verified | 46.5% | 69.7% | Gemini 3.8 Flash |
| LMArena Text: science | 1483 | 1523 | Gemini 3.8 Flash |
| LMArena Text: medicine and healthcare | 1464 | 1508 | Gemini 3.8 Flash |
| LMArena Text: legal and government | 1483 | 1497 | Gemini 3.8 Flash |
| LMArena Text: business and finance | 1468 | 1479 | Gemini 3.8 Flash |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Claude Sonnet 5.5 | Gemini 3.8 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1326 | 1301 | Claude Sonnet 5.5 |
| Design Arena: UI components | 1367 | 1318 | Claude Sonnet 5.5 |
| Design Arena: game dev | 1469 | 1305 | Claude Sonnet 5.5 |
| Design Arena: data viz | 1389 | 1269 | Claude Sonnet 5.5 |
| Design Arena: 3D | 1458 | 1295 | Claude Sonnet 5.5 |
| Design Arena: all code categories | 1364 | 1304 | Claude Sonnet 5.5 |
| Design Arena: SVG | Not measured | 1295 | Only Gemini 3.8 Flash measured |
| Design Arena: ASCII art | Not measured | 1264 | Only Gemini 3.8 Flash measured |
| LiveBench design | 85.0% | 72.7% | Claude Sonnet 5.5 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index1016
| Benchmark | Claude Sonnet 5.5 | Gemini 3.8 Flash | Leader |
|---|---|---|---|
| Vals Index | 70.8% | 56.0% | Claude Sonnet 5.5 |
| LiveBench data analysis | 59.5% | 54.0% | Claude Sonnet 5.5 |
| Public Benefits Bench (Vals AI) | 67.2% | 65.3% | Claude Sonnet 5.5 |
| SAGE (Vals AI) | 51.8% | 35.1% | Claude Sonnet 5.5 |
| MedScribe (Vals AI) | 91.1% | 84.5% | Claude Sonnet 5.5 |
| Long context reasoning (AA-LCR) | 82.7% | 84.0% | Gemini 3.8 Flash |
| DTBench | 97.3% | 95.7% | Claude Sonnet 5.5 |
| LMCA | 68.3% | 52.9% | Claude Sonnet 5.5 |
| Surface Evolver Bench | Not measured | 76.9% | Only Gemini 3.8 Flash measured |
| Furniture assembly | 75.0% | 31.7% | Claude Sonnet 5.5 |
| LMArena Text | 1473 | 1499 | Gemini 3.8 Flash |
| LMArena Text: instruction following | 1492 | 1492 | Claude Sonnet 5.5 |
| LMArena Text: creative writing | 1467 | 1488 | Gemini 3.8 Flash |
| LMArena Vision | 1287 | 1315 | Gemini 3.8 Flash |
| LMArena Text: English | 1484 | 1498 | Gemini 3.8 Flash |
| LMArena Text: non-English | 1456 | 1491 | Gemini 3.8 Flash |
| LMArena Text: Chinese | 1535 | 1553 | Gemini 3.8 Flash |
| LMArena Text: German | Not measured | 1501 | Only Gemini 3.8 Flash measured |
| LMArena Text: Japanese | Not measured | 1507 | Only Gemini 3.8 Flash measured |
| LMArena Text: Korean | Not measured | 1464 | Only Gemini 3.8 Flash measured |
| LMArena Text: French | 1499 | 1496 | Claude Sonnet 5.5 |
| LMArena Text: Spanish | 1451 | 1487 | Gemini 3.8 Flash |
| LMArena Text: Russian | 1454 | 1514 | Gemini 3.8 Flash |
| LMArena Text: Polish | Not measured | 1497 | Only Gemini 3.8 Flash measured |
| LMArena Text: multi-turn | 1465 | 1503 | Gemini 3.8 Flash |
| LMArena Text: longer queries | 1495 | 1507 | Gemini 3.8 Flash |
| LMArena Text: writing and language | 1474 | 1494 | Gemini 3.8 Flash |
| LMArena Text: entertainment and media | 1461 | 1480 | Gemini 3.8 Flash |
| LMArena Vision: English | 1289 | 1318 | Gemini 3.8 Flash |
| LMArena Vision: Chinese | Not measured | 1416 | Only Gemini 3.8 Flash measured |
| LMArena Vision: reading text | 1297 | 1333 | Gemini 3.8 Flash |
| LMArena Vision: humor | Not measured | 1321 | Only Gemini 3.8 Flash measured |
| LMArena Vision: creative writing | 1242 | 1299 | Gemini 3.8 Flash |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Sonnet 5.5 | Gemini 3.8 Flash | 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 3.8 Flash costs less
Repository review
50K input + 3K output tokens
Gemini 3.8 Flash costs less
Agent loop
200K input + 10K output tokens
Gemini 3.8 Flash 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 Sonnet 5.5 | Google Gemini 3.8 Flash |
|---|---|---|
| Maker | Anthropic | |
| Weights | No public weights listed | No public weights listed |
| Released | September 28, 2026 | September 2, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $2.00 | $0.825 |
| Output $/Mtok | $10.00 | $4.125 |
| Coding index | 88.9 | 70.5 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | Not computable | $2.74 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 5.5 better than Gemini 3.8 Flash for coding?
Pick Claude Sonnet 5.5 for coding: it scores 88.9 on the Vibe Coding Index against 70.5 for Gemini 3.8 Flash. Pick Gemini 3.8 Flash when output tokens cost 2.4x less, or when the context window is larger, 1.05M against 1M tokens.
Which is cheaper, Claude Sonnet 5.5 or Gemini 3.8 Flash?
Claude Sonnet 5.5 costs $2.00 per million input tokens and $10.00 per million output tokens; Gemini 3.8 Flash costs $0.825 and $4.125. Cost per solved task is known for Gemini 3.8 Flash only.
Which has the bigger context window, Claude Sonnet 5.5 or Gemini 3.8 Flash?
Gemini 3.8 Flash, with 1.05M tokens against 1M.
How many benchmarks is the Claude Sonnet 5.5 vs Gemini 3.8 Flash comparison based on?
94 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 5.5's coding index rests on 2 independent benchmarks and Gemini 3.8 Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.