Gemini 4 Argon vs Qwen3.8 27B
Updated October 21, 2026. 59 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 73.6 for Qwen3.8 27B.
Pick Qwen3.8 27B when output tokens cost 7.4x less, or when what matters is Terminal-Bench 2.1 (Vals AI) or LiveBench design, where it leads.
- Shared results
- 59
- Gemini 4 Argon only
- 33
- Qwen3.8 27B only
- 26
- 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 73.6.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Gemini 4 Argon
Gemini 4 Argon leads, 52.6 against 33.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.8 27B has a AA Agentic Index result, 45.8.
Directional only
Reasoning
GPQA Diamond
No call
Only Qwen3.8 27B has a GPQA Diamond result, 88.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.8 27B has a MMLU Pro result, 84.3%.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 4 Argon has a Design Arena: websites result, 1315.
Directional only
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
Qwen3.8 27B
Gemini 4 Argon $0.0070, Qwen3.8 27B $0.0007 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.8 27B has the number, $1.26.
Directional only
At a glance
- Coding index
- Gemini 4 Argon 80.5 from 2 benchmarks, Qwen3.8 27B 73.6 from 2 benchmarks.
- Widest category
- Math, 37.8 points apart on average over 3 shared benchmarks.
- Widest single gap
- ProofBench: Gemini 4 Argon 99.0% against Qwen3.8 27B 16.0%, 83.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Argon $10.00 against Qwen3.8 27B $1.35 per million output tokens, 7.4x apart.
- Context window
- Gemini 4 Argon takes 1.05M tokens, Qwen3.8 27B 1M.
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 | Gemini 4 Argon | Bars | Qwen3.8 27B | Ties |
|---|---|---|---|---|
| Coding | 12 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 9 | 0 | ||
| Reasoning | 7 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 6 | 0 | ||
| Web design | 0 | 1 | ||
| General | 17 | 1 | ||
| All shared boards | 56 | 3 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index121
| Benchmark | Gemini 4 Argon | Qwen3.8 27B | Leader |
|---|---|---|---|
| LiveBench coding | 89.7% | 86.8% | Gemini 4 Argon |
| LMArena WebDev | 1678 | 1593 | Gemini 4 Argon |
| AA Coding Index | Not measured | 68.1 | Only Qwen3.8 27B measured |
| LiveCodeBench (Vals AI) | Not measured | 84.0% | Only Qwen3.8 27B measured |
| SWE-bench Verified (Vals AI) | Not measured | 86.0% | Only Qwen3.8 27B measured |
| Terminal-Bench 4 (Vals AI) | 57.6% | Not measured | Only Gemini 4 Argon measured |
| Vibe Code Bench (Vals AI) | 91.9% | 64.8% | Gemini 4 Argon |
| Code migration (Vals AI) | 68.2% | 14.2% | Gemini 4 Argon |
| ProgramBench (Vals AI) | 2.5% | 0.0% | Gemini 4 Argon |
| IOI (Vals AI) | 100.0% | 39.1% | Gemini 4 Argon |
| Terminal-Bench 2.1 (Vals AI) | 57.7% | 58.4% | Qwen3.8 27B |
| SWE-bench Multimodal (Vals AI) | 56.0% | Not measured | Only Gemini 4 Argon measured |
| Vibe Code Bench 1-100 (Vals AI) | 21.2% | Not measured | Only Gemini 4 Argon measured |
| SkillsBench (Vals AI) | Not measured | 38.1% | Only Qwen3.8 27B measured |
| CyberBench (Vals AI) | 77.9% | 67.8% | Gemini 4 Argon |
| SciCode | 61.8% | 46.6% | Gemini 4 Argon |
| FrontierCode | 47.5% | Not measured | Only Gemini 4 Argon measured |
| FrontierSWE | 55.0% | Not measured | Only Gemini 4 Argon measured |
| ALE-Bench | 2100.1 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: coding | 1546 | 1483 | Gemini 4 Argon |
| LMArena Text: software and IT | 1556 | 1478 | Gemini 4 Argon |
| LMArena WebDev: React | 1692 | 1602 | Gemini 4 Argon |
| LMArena WebDev: HTML | 1643 | 1570 | Gemini 4 Argon |
| LMArena WebDev: from an image | Not measured | 1577 | Only Qwen3.8 27B measured |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 4 Argon | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 52.6 | 33.7 | Gemini 4 Argon |
| Epoch Capabilities Index | 166.4 | 151.7 | Gemini 4 Argon |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Gemini 4 Argon | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 45.8 | Only Qwen3.8 27B measured |
| Design Arena: spreadsheets | 1151 | Not measured | Only Gemini 4 Argon measured |
| LiveBench research | 83.1% | 59.4% | Gemini 4 Argon |
| LiveBench browser | 92.0% | 32.0% | Gemini 4 Argon |
| LiveBench long agentic | 69.9% | 27.9% | Gemini 4 Argon |
| SREBench (Vals AI) | 44.3% | Not measured | Only Gemini 4 Argon measured |
| Finance Agent (Vals AI) | 65.4% | 48.5% | Gemini 4 Argon |
| Tax Agent Bench (Vals AI) | 44.6% | 30.9% | Gemini 4 Argon |
| Legal Research Bench (Vals AI) | 54.8% | 36.1% | Gemini 4 Argon |
| Harvey's Legal Agent Benchmark (Vals AI) | 27.1% | Not measured | Only Gemini 4 Argon measured |
| Excel Modeling Benchmark (Vals AI) | 75.2% | 59.7% | Gemini 4 Argon |
| BioMysteryBench (Vals AI) | 76.3% | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench-Science (Vals AI) | 44.3% | 0.0% | Gemini 4 Argon |
| Vals Science Index | 55.4% | Not measured | Only Gemini 4 Argon measured |
| Time Horizon Index (Vals AI) | 52.5% | Not measured | Only Gemini 4 Argon measured |
| CUA-bench (Vals AI) | 4.8% | Not measured | Only Gemini 4 Argon measured |
| Robo-bench (Vals AI) | 0.8% | Not measured | Only Gemini 4 Argon measured |
| APEX-Agents | 82.4% | 47.5% | Gemini 4 Argon |
| Vending-Bench 2 | $13,718 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 20 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Gemini 4 Argon | Qwen3.8 27B | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 88.9% | Only Qwen3.8 27B measured |
| LiveBench reasoning | 95.1% | 80.0% | Gemini 4 Argon |
| MysteryMechanism (Vals AI) | 45.5% | Not measured | Only Gemini 4 Argon measured |
| MMMU Pro (Vals AI) | Not measured | 83.9% | Only Qwen3.8 27B measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 90.5% | Only Qwen3.8 27B measured |
| Humanity's Last Exam (Artificial Analysis run) | 57.1% | 33.9% | Gemini 4 Argon |
| GPQA Diamond (Epoch AI run) | 96.4% | Not measured | Only Gemini 4 Argon measured |
| ARC-AGI | 98.5% | 87.5% | Gemini 4 Argon |
| ARC-AGI-2 | 91.3% | 42.4% | Gemini 4 Argon |
| Chess puzzles | 59.0% | Not measured | Only Gemini 4 Argon measured |
| Mystery game puzzles | 64.0% | Not measured | Only Gemini 4 Argon measured |
| EBR-bench | 64.8% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts | 1546 | 1459 | Gemini 4 Argon |
| LMArena Text: expert | 1550 | 1479 | Gemini 4 Argon |
| LMArena Text: hard prompts in English | 1548 | 1461 | Gemini 4 Argon |
| LMArena Vision: diagrams | Not measured | 1285 | Only Qwen3.8 27B measured |
| LMArena Vision: homework | Not measured | 1295 | Only Qwen3.8 27B measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Gemini 4 Argon | Qwen3.8 27B | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | Not measured | Only Gemini 4 Argon measured |
| FrontierMath, tiers 1 to 3 | 86.0% | Not measured | Only Gemini 4 Argon measured |
| FrontierMath, tier 4 | 78.0% | Not measured | Only Gemini 4 Argon measured |
| ProofBench | 99.0% | 16.0% | Gemini 4 Argon |
| LMArena Text: math | 1536 | 1455 | Gemini 4 Argon |
| LMArena Text: mathematical work | 1557 | 1458 | 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 index60
| Benchmark | Gemini 4 Argon | Qwen3.8 27B | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 84.3% | Only Qwen3.8 27B measured |
| LegalBench (Vals AI) | 88.3% | 82.4% | Gemini 4 Argon |
| TaxEval (Vals AI) | Not measured | 70.8% | Only Qwen3.8 27B measured |
| MortgageTax (Vals AI) | Not measured | 64.9% | Only Qwen3.8 27B measured |
| MedCode (Vals AI) | 58.8% | 28.7% | Gemini 4 Argon |
| SimpleQA Verified | 76.0% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: science | 1548 | 1467 | Gemini 4 Argon |
| LMArena Text: medicine and healthcare | 1555 | 1437 | Gemini 4 Argon |
| LMArena Text: legal and government | 1548 | 1447 | Gemini 4 Argon |
| LMArena Text: business and finance | 1525 | 1438 | Gemini 4 Argon |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 4 Argon | Qwen3.8 27B | Leader |
|---|---|---|---|
| Design Arena: websites | 1315 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: UI components | 1333 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: game dev | 1377 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: data viz | 1334 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: 3D | 1389 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: all code categories | 1328 | Not measured | Only Gemini 4 Argon measured |
| LiveBench design | 73.7% | 75.9% | Qwen3.8 27B |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index171
| Benchmark | Gemini 4 Argon | Qwen3.8 27B | Leader |
|---|---|---|---|
| Vals Index | 69.2% | Not measured | Only Gemini 4 Argon measured |
| LiveBench data analysis | 85.2% | 76.6% | Gemini 4 Argon |
| Public Benefits Bench (Vals AI) | 69.8% | Not measured | Only Gemini 4 Argon measured |
| SAGE (Vals AI) | 53.6% | 52.4% | Gemini 4 Argon |
| MedScribe (Vals AI) | 87.4% | 83.8% | Gemini 4 Argon |
| Long context reasoning (AA-LCR) | 79.7% | 82.0% | Qwen3.8 27B |
| DTBench | 97.6% | 88.0% | Gemini 4 Argon |
| LMCA | 63.7% | 41.4% | Gemini 4 Argon |
| Surface Evolver Bench | Not measured | 45.0% | Only Qwen3.8 27B measured |
| Furniture assembly | 72.5% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text | 1532 | 1440 | Gemini 4 Argon |
| LMArena Text: instruction following | 1534 | 1436 | Gemini 4 Argon |
| LMArena Text: creative writing | 1527 | 1383 | Gemini 4 Argon |
| LMArena Vision | Not measured | 1269 | Only Qwen3.8 27B measured |
| LMArena Text: English | 1538 | 1448 | Gemini 4 Argon |
| LMArena Text: non-English | 1522 | 1428 | Gemini 4 Argon |
| LMArena Text: Chinese | 1611 | 1501 | Gemini 4 Argon |
| LMArena Text: German | Not measured | 1443 | Only Qwen3.8 27B measured |
| LMArena Text: Japanese | Not measured | 1387 | Only Qwen3.8 27B measured |
| LMArena Text: Korean | Not measured | 1384 | Only Qwen3.8 27B measured |
| LMArena Text: French | Not measured | 1465 | Only Qwen3.8 27B measured |
| LMArena Text: Spanish | 1503 | 1449 | Gemini 4 Argon |
| LMArena Text: Russian | 1534 | 1415 | Gemini 4 Argon |
| LMArena Text: Polish | Not measured | 1439 | Only Qwen3.8 27B measured |
| LMArena Text: multi-turn | 1556 | 1440 | Gemini 4 Argon |
| LMArena Text: longer queries | 1547 | 1448 | Gemini 4 Argon |
| LMArena Text: writing and language | 1529 | 1405 | Gemini 4 Argon |
| LMArena Text: entertainment and media | 1527 | 1393 | Gemini 4 Argon |
| LMArena Vision: English | Not measured | 1267 | Only Qwen3.8 27B measured |
| LMArena Vision: Chinese | Not measured | 1326 | Only Qwen3.8 27B measured |
| LMArena Vision: reading text | Not measured | 1281 | Only Qwen3.8 27B measured |
| LMArena Vision: humor | Not measured | 1235 | Only Qwen3.8 27B measured |
| LMArena Vision: creative writing | Not measured | 1237 | Only Qwen3.8 27B measured |
| 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 | Gemini 4 Argon | Qwen3.8 27B | 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
Qwen3.8 27B costs less
Repository review
50K input + 3K output tokens
Qwen3.8 27B costs less
Agent loop
200K input + 10K output tokens
Qwen3.8 27B 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 | Google Gemini 4 Argon | Qwen3.8 27B |
|---|---|---|
| Maker | Qwen | |
| Weights | No public weights listed | Open weights |
| Released | October 13, 2026 | August 14, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $2.00 | $0.04 |
| Output $/Mtok | $10.00 | $1.35 |
| Coding index | 80.5 | 73.6 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | Not computable | $1.26 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Argon better than Qwen3.8 27B for coding?
Pick Gemini 4 Argon for coding: it scores 80.5 on the Vibe Coding Index against 73.6 for Qwen3.8 27B. Pick Qwen3.8 27B when output tokens cost 7.4x less, or when what matters is Terminal-Bench 2.1 (Vals AI) or LiveBench design, where it leads.
Which is cheaper, Gemini 4 Argon or Qwen3.8 27B?
Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; Qwen3.8 27B costs $0.04 and $1.35. Cost per solved task is known for Qwen3.8 27B only.
Which has the bigger context window, Gemini 4 Argon or Qwen3.8 27B?
Gemini 4 Argon, with 1.05M tokens against 1M.
How many benchmarks is the Gemini 4 Argon vs Qwen3.8 27B comparison based on?
59 benchmarks have a result for both models as of October 21, 2026. Gemini 4 Argon's coding index rests on 2 independent benchmarks and Qwen3.8 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.