Claude Sonnet 5 vs Gemini 4 Argon
Updated October 21, 2026. 78 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Gemini 4 Argon for coding: it scores 80.5 on the Vibe Coding Index against 63.5 for Claude Sonnet 5.
Pick Claude Sonnet 5 when what matters is Terminal-Bench 2.1 (Vals AI) or LiveBench design, where it leads.
- Shared results
- 78
- Claude Sonnet 5 only
- 42
- Gemini 4 Argon only
- 14
- 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
Gemini 4 Argon
Gemini 4 Argon scores 80.5 against 63.5.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Gemini 4 Argon
Gemini 4 Argon leads, 52.6 against 38.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Sonnet 5 has a AA Agentic Index result, 43.6.
Directional only
Reasoning
GPQA Diamond
No call
Only Claude Sonnet 5 has a GPQA Diamond result, 88.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Sonnet 5 has a MMLU Pro result, 87.5%.
Directional only
Web design
Design Arena: websites
Gemini 4 Argon
Gemini 4 Argon leads, 1315 against 1274.
Same board, both measured
General
Vals Index
No call
Only Gemini 4 Argon has a Vals Index result, 69.2%.
Directional only
Long documents
Listed context window
Gemini 4 Argon
Gemini 4 Argon takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
No call
Claude Sonnet 5 $0.0070, Gemini 4 Argon $0.0070 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Sonnet 5 has the number, $1.87.
Directional only
At a glance
- Coding index
- Claude Sonnet 5 63.5 from 2 benchmarks, Gemini 4 Argon 80.5 from 2 benchmarks.
- Widest category
- Agentic work, 22.9 points apart on average over 12 shared benchmarks.
- Widest single gap
- IOI (Vals AI): Claude Sonnet 5 45.0% against Gemini 4 Argon 100.0%, 55.0 points apart on a 0 to 100 scale.
- Output price
- Both cost $10.00 per million output tokens.
- Context window
- Claude Sonnet 5 takes 1M tokens, Gemini 4 Argon 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 | Bars | Gemini 4 Argon | Ties |
|---|---|---|---|---|
| Coding | 1 | 16 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 12 | ||
| Reasoning | 0 | 8 | ||
| Math | 0 | 6 | ||
| Knowledge | 0 | 7 | ||
| Web design | 1 | 6 | ||
| General | 1 | 18 | ||
| All shared boards | 3 | 75 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index116
| Benchmark | Claude Sonnet 5 | Gemini 4 Argon | Leader |
|---|---|---|---|
| LiveBench coding | 74.7% | 89.7% | Gemini 4 Argon |
| LMArena WebDev | 1540 | 1678 | Gemini 4 Argon |
| AA Coding Index | 71.5 | Not measured | Only Claude Sonnet 5 measured |
| LiveCodeBench (Vals AI) | 82.4% | Not measured | Only Claude Sonnet 5 measured |
| SWE-bench Verified (Vals AI) | 79.6% | Not measured | Only Claude Sonnet 5 measured |
| Terminal-Bench 4 (Vals AI) | 10.6% | 57.6% | Gemini 4 Argon |
| Vibe Code Bench (Vals AI) | 81.3% | 91.9% | Gemini 4 Argon |
| Code migration (Vals AI) | 44.4% | 68.2% | Gemini 4 Argon |
| ProgramBench (Vals AI) | 0.0% | 2.5% | Gemini 4 Argon |
| IOI (Vals AI) | 45.0% | 100.0% | Gemini 4 Argon |
| Terminal-Bench 2.1 (Vals AI) | 74.5% | 57.7% | Claude Sonnet 5 |
| SWE-bench Multimodal (Vals AI) | Not measured | 56.0% | Only Gemini 4 Argon measured |
| Vibe Code Bench 1-100 (Vals AI) | 13.8% | 21.2% | Gemini 4 Argon |
| SkillsBench (Vals AI) | 46.5% | Not measured | Only Claude Sonnet 5 measured |
| CyberBench (Vals AI) | 70.3% | 77.9% | Gemini 4 Argon |
| SciCode | 54.3% | 61.8% | Gemini 4 Argon |
| FrontierCode | 42.7% | 47.5% | Gemini 4 Argon |
| FrontierSWE | Not measured | 55.0% | Only Gemini 4 Argon measured |
| GSO-Bench | 37.3% | Not measured | Only Claude Sonnet 5 measured |
| WeirdML | 68.8% | Not measured | Only Claude Sonnet 5 measured |
| ALE-Bench | 1463.1 | 2100.1 | Gemini 4 Argon |
| LMArena Text: coding | 1483 | 1546 | Gemini 4 Argon |
| LMArena Text: software and IT | 1474 | 1556 | Gemini 4 Argon |
| LMArena WebDev: React | 1541 | 1692 | Gemini 4 Argon |
| LMArena WebDev: HTML | 1527 | 1643 | Gemini 4 Argon |
| LMArena WebDev: from an image | 1540 | Not measured | Only Claude Sonnet 5 measured |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Sonnet 5 | Gemini 4 Argon | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.2 | 52.6 | Gemini 4 Argon |
| Epoch Capabilities Index | 156.9 | 166.4 | Gemini 4 Argon |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index012
| Benchmark | Claude Sonnet 5 | Gemini 4 Argon | Leader |
|---|---|---|---|
| AA Agentic Index | 43.6 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building web apps | 1245 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building full-stack apps | 1249 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building mobile apps | 1215 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building Android apps | 1231 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building Godot games | 1225 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building games | 1227 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: HTML slides | 1218 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: PowerPoint slides | 1216 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: spreadsheets | 1004 | 1151 | Gemini 4 Argon |
| LiveBench research | 82.8% | 83.1% | Gemini 4 Argon |
| LiveBench browser | 72.0% | 92.0% | Gemini 4 Argon |
| LiveBench long agentic | 39.0% | 69.9% | Gemini 4 Argon |
| SREBench (Vals AI) | 0.4% | 44.3% | Gemini 4 Argon |
| Finance Agent (Vals AI) | 53.9% | 65.4% | Gemini 4 Argon |
| Tax Agent Bench (Vals AI) | 29.4% | 44.6% | Gemini 4 Argon |
| Legal Research Bench (Vals AI) | 41.8% | 54.8% | Gemini 4 Argon |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 27.1% | Only Gemini 4 Argon measured |
| Excel Modeling Benchmark (Vals AI) | 66.3% | 75.2% | Gemini 4 Argon |
| BioMysteryBench (Vals AI) | Not measured | 76.3% | Only Gemini 4 Argon measured |
| Terminal-Bench-Science (Vals AI) | 5.7% | 44.3% | Gemini 4 Argon |
| Vals Science Index | Not measured | 55.4% | Only Gemini 4 Argon measured |
| Time Horizon Index (Vals AI) | Not measured | 52.5% | Only Gemini 4 Argon measured |
| CUA-bench (Vals AI) | Not measured | 4.8% | Only Gemini 4 Argon measured |
| Robo-bench (Vals AI) | Not measured | 0.8% | Only Gemini 4 Argon measured |
| APEX-Agents | 54.5% | 82.4% | Gemini 4 Argon |
| Vending-Bench 2 | $6,378 | $13,718 | Gemini 4 Argon |
| Neither model has a result on the other 12 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Claude Sonnet 5 | Gemini 4 Argon | Leader |
|---|---|---|---|
| GPQA Diamond | 88.9% | Not measured | Only Claude Sonnet 5 measured |
| LiveBench reasoning | 88.7% | 95.1% | Gemini 4 Argon |
| MysteryMechanism (Vals AI) | Not measured | 45.5% | Only Gemini 4 Argon measured |
| MMMU Pro (Vals AI) | 83.0% | Not measured | Only Claude Sonnet 5 measured |
| GPQA Diamond (Artificial Analysis run) | 91.1% | Not measured | Only Claude Sonnet 5 measured |
| Humanity's Last Exam (Artificial Analysis run) | 41.3% | 57.1% | Gemini 4 Argon |
| GPQA Diamond (Epoch AI run) | 90.5% | 96.4% | Gemini 4 Argon |
| ARC-AGI | Not measured | 98.5% | Only Gemini 4 Argon measured |
| ARC-AGI-2 | Not measured | 91.3% | Only Gemini 4 Argon measured |
| SimpleBench | 60.6% | Not measured | Only Claude Sonnet 5 measured |
| Chess puzzles | 45.0% | 59.0% | Gemini 4 Argon |
| Mystery game puzzles | 35.0% | 64.0% | Gemini 4 Argon |
| EBR-bench | Not measured | 64.8% | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts | 1461 | 1546 | Gemini 4 Argon |
| LMArena Text: expert | 1489 | 1550 | Gemini 4 Argon |
| LMArena Text: hard prompts in English | 1464 | 1548 | Gemini 4 Argon |
| LMArena Vision: diagrams | 1293 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: homework | 1311 | Not measured | Only Claude Sonnet 5 measured |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Claude Sonnet 5 | Gemini 4 Argon | Leader |
|---|---|---|---|
| OTIS Mock AIME | 94.7% | 100.0% | Gemini 4 Argon |
| FrontierMath, tiers 1 to 3 | 65.6% | 86.0% | Gemini 4 Argon |
| FrontierMath, tier 4 | 29.3% | 78.0% | Gemini 4 Argon |
| ProofBench | 77.0% | 99.0% | Gemini 4 Argon |
| LMArena Text: math | 1467 | 1536 | Gemini 4 Argon |
| LMArena Text: mathematical work | 1481 | 1557 | Gemini 4 Argon |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Claude Sonnet 5 | Gemini 4 Argon | Leader |
|---|---|---|---|
| MMLU Pro | 87.5% | Not measured | Only Claude Sonnet 5 measured |
| LegalBench (Vals AI) | 83.9% | 88.3% | Gemini 4 Argon |
| CorpFin (Vals AI) | 67.0% | Not measured | Only Claude Sonnet 5 measured |
| TaxEval (Vals AI) | 75.6% | Not measured | Only Claude Sonnet 5 measured |
| MortgageTax (Vals AI) | 70.0% | Not measured | Only Claude Sonnet 5 measured |
| MedCode (Vals AI) | 47.5% | 58.8% | Gemini 4 Argon |
| SimpleQA Verified | 33.7% | 76.0% | Gemini 4 Argon |
| LMArena Text: science | 1460 | 1548 | Gemini 4 Argon |
| LMArena Text: medicine and healthcare | 1442 | 1555 | Gemini 4 Argon |
| LMArena Text: legal and government | 1454 | 1548 | Gemini 4 Argon |
| LMArena Text: business and finance | 1436 | 1525 | Gemini 4 Argon |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index16
| Benchmark | Claude Sonnet 5 | Gemini 4 Argon | Leader |
|---|---|---|---|
| Design Arena: websites | 1274 | 1315 | Gemini 4 Argon |
| Design Arena: UI components | 1279 | 1333 | Gemini 4 Argon |
| Design Arena: game dev | 1278 | 1377 | Gemini 4 Argon |
| Design Arena: data viz | 1251 | 1334 | Gemini 4 Argon |
| Design Arena: 3D | 1261 | 1389 | Gemini 4 Argon |
| Design Arena: all code categories | 1276 | 1328 | Gemini 4 Argon |
| Design Arena: SVG | 1193 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: ASCII art | 1207 | Not measured | Only Claude Sonnet 5 measured |
| LiveBench design | 82.0% | 73.7% | Claude Sonnet 5 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index118
| Benchmark | Claude Sonnet 5 | Gemini 4 Argon | Leader |
|---|---|---|---|
| Vals Index | Not measured | 69.2% | Only Gemini 4 Argon measured |
| LiveBench data analysis | 71.7% | 85.2% | Gemini 4 Argon |
| Public Benefits Bench (Vals AI) | 66.0% | 69.8% | Gemini 4 Argon |
| SAGE (Vals AI) | 48.9% | 53.6% | Gemini 4 Argon |
| MedScribe (Vals AI) | 76.0% | 87.4% | Gemini 4 Argon |
| Vals Multimodal Index | 68.8% | Not measured | Only Claude Sonnet 5 measured |
| Long context reasoning (AA-LCR) | 82.0% | 79.7% | Claude Sonnet 5 |
| DTBench | 92.5% | 97.6% | Gemini 4 Argon |
| LMCA | 50.0% | 63.7% | Gemini 4 Argon |
| Surface Evolver Bench | 60.0% | Not measured | Only Claude Sonnet 5 measured |
| Furniture assembly | Not measured | 72.5% | Only Gemini 4 Argon measured |
| LMArena Text | 1442 | 1532 | Gemini 4 Argon |
| LMArena Text: instruction following | 1452 | 1534 | Gemini 4 Argon |
| LMArena Text: creative writing | 1416 | 1527 | Gemini 4 Argon |
| LMArena Vision | 1273 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: English | 1450 | 1538 | Gemini 4 Argon |
| LMArena Text: non-English | 1431 | 1522 | Gemini 4 Argon |
| LMArena Text: Chinese | 1478 | 1611 | Gemini 4 Argon |
| LMArena Text: German | 1442 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: Japanese | 1422 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: Korean | 1412 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: French | 1463 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: Spanish | 1438 | 1503 | Gemini 4 Argon |
| LMArena Text: Russian | 1450 | 1534 | Gemini 4 Argon |
| LMArena Text: Polish | 1425 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Text: multi-turn | 1453 | 1556 | Gemini 4 Argon |
| LMArena Text: longer queries | 1462 | 1547 | Gemini 4 Argon |
| LMArena Text: writing and language | 1436 | 1529 | Gemini 4 Argon |
| LMArena Text: entertainment and media | 1411 | 1527 | Gemini 4 Argon |
| LMArena Vision: English | 1275 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: Chinese | 1331 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: reading text | 1288 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: humor | 1261 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Vision: creative writing | 1246 | Not measured | Only Claude Sonnet 5 measured |
| LMArena Document | 1466 | Not measured | Only Claude Sonnet 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 Sonnet 5 | Gemini 4 Argon | 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
Same cost
Repository review
50K input + 3K output tokens
Same cost
Agent loop
200K input + 10K output tokens
Same cost
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 | Google Gemini 4 Argon |
|---|---|---|
| Maker | Anthropic | |
| Weights | No public weights listed | No public weights listed |
| Released | June 30, 2026 | October 13, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $2.00 | $2.00 |
| Output $/Mtok | $10.00 | $10.00 |
| Coding index | 63.5 | 80.5 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $1.87 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 5 better than Gemini 4 Argon for coding?
Pick Gemini 4 Argon for coding: it scores 80.5 on the Vibe Coding Index against 63.5 for Claude Sonnet 5. Pick Claude Sonnet 5 when what matters is Terminal-Bench 2.1 (Vals AI) or LiveBench design, where it leads.
Which is cheaper, Claude Sonnet 5 or Gemini 4 Argon?
Claude Sonnet 5 costs $2.00 per million input tokens and $10.00 per million output tokens; Gemini 4 Argon costs $2.00 and $10.00. Cost per solved task is known for Claude Sonnet 5 only.
Which has the bigger context window, Claude Sonnet 5 or Gemini 4 Argon?
Gemini 4 Argon, with 1.05M tokens against 1M.
How many benchmarks is the Claude Sonnet 5 vs Gemini 4 Argon comparison based on?
78 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 5's coding index rests on 2 independent benchmarks and Gemini 4 Argon's on 2. Where only one model has a result, the page says so instead of naming a winner.