Claude Opus 4.8 vs Qwen3 30B A3B Instruct 2507
Claude Opus 4.8 leads Qwen3 30B A3B Instruct 2507 on the Artificial Analysis Intelligence Index, 41.8 to 7.5, and Qwen3 30B A3B Instruct 2507 costs 83.3x less per output token ($0.30 vs $25.00 per million). Updated October 22, 2026; 40 benchmarks have a result for both.
vs boards won of 40 shared
Claude Opus 4.8 or Qwen3 30B A3B Instruct 2507: which to pick
Only Claude Opus 4.8 has a coding score, 65.0 on the Vibe Coding Index; Qwen3 30B A3B Instruct 2507 has none, so the two cannot be ranked on coding.
Pick Qwen3 30B A3B Instruct 2507 for output tokens 83.3x cheaper ($0.30 vs $25.00 per million).
Model AClaude Opus 4.8Anthropic65.0/1006 independent benchmarks$2.17 per solved taskModel BQwen3 30B A3B Instruct 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
- Shared results
- 40
- Claude Opus 4.8 only
- 96
- Qwen3 30B A3B Instruct 2507 only
- 5
- 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
No call
Only Claude Opus 4.8 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Claude Opus 4.8
Claude Opus 4.8 leads, 41.8 against 7.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Opus 4.8 has a AA Agentic Index result, 41.9.
Directional only
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.8 has a GPQA Diamond result, 92.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.8 has a MMLU Pro result, 89.6%.
Directional only
Web design
Design Arena: websites
No call
Only Claude Opus 4.8 has a Design Arena: websites result, 1258.
Directional only
Long documents
Listed context window
Claude Opus 4.8
Claude Opus 4.8 takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 30B A3B Instruct 2507
Claude Opus 4.8 $0.018, Qwen3 30B A3B Instruct 2507 $0.0002 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Opus 4.8 has the number, $2.17.
Directional only
At a glance
- Coding index
- Claude Opus 4.8 65.0 from 6 benchmarks, Qwen3 30B A3B Instruct 2507 not benchmarked.
- Widest category
- Agentic work, 66.4 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Claude Opus 4.8 94.4% against Qwen3 30B A3B Instruct 2507 28.1%, 66.4 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.8 $25.00 against Qwen3 30B A3B Instruct 2507 $0.30 per million output tokens, 83.3x apart.
- Context window
- Claude Opus 4.8 takes 1M tokens, Qwen3 30B A3B Instruct 2507 262K.
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 4.8 | Bars | Qwen3 30B A3B Instruct 2507 | Ties |
|---|---|---|---|---|
| Coding | 4 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 6 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 21 | 0 | ||
| All shared boards | 40 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
| Benchmark | Claude Opus 4.8 | Qwen3 30B A3B Instruct 2507 | Leader |
|---|---|---|---|
| LiveBench coding | 77.3% | Not measured | Only Claude Opus 4.8 measured |
| LMArena WebDev | 1556 | Not measured | Only Claude Opus 4.8 measured |
| AA Coding Index | 74.3 | Not measured | Only Claude Opus 4.8 measured |
| LiveCodeBench (Vals AI) | 87.8% | Not measured | Only Claude Opus 4.8 measured |
| SWE-bench Verified (Vals AI) | 88.6% | Not measured | Only Claude Opus 4.8 measured |
| Terminal-Bench 4 (Vals AI) | 23.2% | Not measured | Only Claude Opus 4.8 measured |
| Vibe Code Bench (Vals AI) | 82.7% | Not measured | Only Claude Opus 4.8 measured |
| Code migration (Vals AI) | 47.3% | Not measured | Only Claude Opus 4.8 measured |
| ProgramBench (Vals AI) | 1.0% | Not measured | Only Claude Opus 4.8 measured |
| Terminal-Bench 2.1 (Vals AI) | 71.9% | Not measured | Only Claude Opus 4.8 measured |
| SkillsBench (Vals AI) | 59.2% | Not measured | Only Claude Opus 4.8 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 70.7% | Only Qwen3 30B A3B Instruct 2507 measured |
| SciCode | 54.4% | 33.0% | Claude Opus 4.8 |
| Terminal-Bench Hard (Artificial Analysis run) | 58.3% | 6.1% | Claude Opus 4.8 |
| FrontierCode | 46.5% | Not measured | Only Claude Opus 4.8 measured |
| GSO-Bench | 47.1% | Not measured | Only Claude Opus 4.8 measured |
| WeirdML | 82.9% | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: coding | 1490 | 1416 | Claude Opus 4.8 |
| LMArena Text: software and IT | 1488 | 1417 | Claude Opus 4.8 |
| LMArena WebDev: React | 1557 | Not measured | Only Claude Opus 4.8 measured |
| LMArena WebDev: HTML | 1543 | Not measured | Only Claude Opus 4.8 measured |
| SciCode | 12.3% | Not measured | Only Claude Opus 4.8 measured |
| SWE Atlas: Codebase QnA | 57.3% | Not measured | Only Claude Opus 4.8 measured |
| SWE Atlas: Refactoring | 46.7% | Not measured | Only Claude Opus 4.8 measured |
| SWE Atlas: Test Writing | 49.6% | Not measured | Only Claude Opus 4.8 measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Opus 4.8 | Qwen3 30B A3B Instruct 2507 | Leader |
|---|---|---|---|
| AA Intelligence Index | 41.8 | 7.5 | Claude Opus 4.8 |
| Epoch Capabilities Index | 159.0 | Not measured | Only Claude Opus 4.8 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Opus 4.8 | Qwen3 30B A3B Instruct 2507 | Leader |
|---|---|---|---|
| AA Agentic Index | 41.9 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: agents building web apps | 1233 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: agents building full-stack apps | 1249 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: agents building mobile apps | 1222 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: agents building Android apps | 1231 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: agents building Godot games | 1231 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: agents building games | 1238 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: HTML slides | 1160 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: PowerPoint slides | 1201 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: spreadsheets | 1314 | Not measured | Only Claude Opus 4.8 measured |
| LiveBench research | 81.8% | Not measured | Only Claude Opus 4.8 measured |
| LiveBench browser | 96.0% | Not measured | Only Claude Opus 4.8 measured |
| LiveBench long agentic | 48.3% | Not measured | Only Claude Opus 4.8 measured |
| Finance Agent (Vals AI) | 53.9% | Not measured | Only Claude Opus 4.8 measured |
| Tax Agent Bench (Vals AI) | 30.0% | Not measured | Only Claude Opus 4.8 measured |
| Legal Research Bench (Vals AI) | 43.8% | Not measured | Only Claude Opus 4.8 measured |
| Excel Modeling Benchmark (Vals AI) | 69.4% | Not measured | Only Claude Opus 4.8 measured |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only Claude Opus 4.8 measured |
| Time Horizon Index (Vals AI) | 11.8% | Not measured | Only Claude Opus 4.8 measured |
| τ²-Bench Telecom | 94.4% | 28.1% | Claude Opus 4.8 |
| APEX-Agents | 48.9% | Not measured | Only Claude Opus 4.8 measured |
| Remote Labor Index | 8.3% | Not measured | Only Claude Opus 4.8 measured |
| OSWorld 2.0 | 20.6% | Not measured | Only Claude Opus 4.8 measured |
| DeepResearch Bench | 50.2% | Not measured | Only Claude Opus 4.8 measured |
| PostTrainBench | 33.8% | Not measured | Only Claude Opus 4.8 measured |
| Vending-Bench 2 | $5,787 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Search | 1204 | Not measured | Only Claude Opus 4.8 measured |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 41.4% | Only Qwen3 30B A3B Instruct 2507 measured |
| MCP Atlas | 82.2% | Not measured | Only Claude Opus 4.8 measured |
| Neither model has a result on the other 13 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Opus 4.8 | Qwen3 30B A3B Instruct 2507 | Leader |
|---|---|---|---|
| GPQA Diamond | 92.4% | Not measured | Only Claude Opus 4.8 measured |
| LiveBench reasoning | 89.2% | Not measured | Only Claude Opus 4.8 measured |
| MMMU Pro (Vals AI) | 86.6% | Not measured | Only Claude Opus 4.8 measured |
| GPQA Diamond (Artificial Analysis run) | 92.0% | 70.7% | Claude Opus 4.8 |
| Humanity's Last Exam (Artificial Analysis run) | 48.7% | 10.3% | Claude Opus 4.8 |
| GPQA Diamond (Epoch AI run) | 91.0% | 55.6% | Claude Opus 4.8 |
| ARC-AGI | 92.5% | Not measured | Only Claude Opus 4.8 measured |
| ARC-AGI-2 | 72.1% | Not measured | Only Claude Opus 4.8 measured |
| SimpleBench | 64.8% | Not measured | Only Claude Opus 4.8 measured |
| Chess puzzles | 52.0% | Not measured | Only Claude Opus 4.8 measured |
| Mystery game puzzles | 36.0% | Not measured | Only Claude Opus 4.8 measured |
| EBR-bench | 28.6% | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: hard prompts | 1482 | 1398 | Claude Opus 4.8 |
| LMArena Text: expert | 1503 | 1397 | Claude Opus 4.8 |
| LMArena Text: hard prompts in English | 1487 | 1406 | Claude Opus 4.8 |
| LMArena Vision: diagrams | 1315 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Vision: homework | 1337 | Not measured | Only Claude Opus 4.8 measured |
| Kagi LLM Benchmark | 88.8% | Not measured | Only Claude Opus 4.8 measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Claude Opus 4.8 | Qwen3 30B A3B Instruct 2507 | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 66.3 | Only Qwen3 30B A3B Instruct 2507 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 66.3% | Only Qwen3 30B A3B Instruct 2507 measured |
| OTIS Mock AIME | 98.3% | 62.2% | Claude Opus 4.8 |
| FrontierMath, tiers 1 to 3 | 80.0% | Not measured | Only Claude Opus 4.8 measured |
| FrontierMath, tier 4 | 56.1% | Not measured | Only Claude Opus 4.8 measured |
| ProofBench | 69.0% | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: math | 1486 | 1394 | Claude Opus 4.8 |
| LMArena Text: mathematical work | 1497 | 1411 | Claude Opus 4.8 |
| MathArena | 39.8% | Not measured | Only Claude Opus 4.8 measured |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Opus 4.8 | Qwen3 30B A3B Instruct 2507 | Leader |
|---|---|---|---|
| MMLU Pro | 89.6% | Not measured | Only Claude Opus 4.8 measured |
| LegalBench (Vals AI) | 83.6% | Not measured | Only Claude Opus 4.8 measured |
| CorpFin (Vals AI) | 66.7% | Not measured | Only Claude Opus 4.8 measured |
| TaxEval (Vals AI) | 75.6% | Not measured | Only Claude Opus 4.8 measured |
| MortgageTax (Vals AI) | 69.9% | Not measured | Only Claude Opus 4.8 measured |
| MedCode (Vals AI) | 53.2% | Not measured | Only Claude Opus 4.8 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 80.5% | Only Qwen3 30B A3B Instruct 2507 measured |
| SimpleQA Verified | 53.0% | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: science | 1477 | 1393 | Claude Opus 4.8 |
| LMArena Text: medicine and healthcare | 1464 | 1392 | Claude Opus 4.8 |
| LMArena Text: legal and government | 1477 | 1387 | Claude Opus 4.8 |
| LMArena Text: business and finance | 1458 | 1389 | Claude Opus 4.8 |
| FACTS Benchmark Suite | 53.5% | Not measured | Only Claude Opus 4.8 measured |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Claude Opus 4.8 | Qwen3 30B A3B Instruct 2507 | Leader |
|---|---|---|---|
| Design Arena: websites | 1258 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: UI components | 1255 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: game dev | 1264 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: data viz | 1240 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: 3D | 1222 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: all code categories | 1255 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: SVG | 1194 | Not measured | Only Claude Opus 4.8 measured |
| Design Arena: ASCII art | 1277 | Not measured | Only Claude Opus 4.8 measured |
| LiveBench design | 78.8% | Not measured | Only Claude Opus 4.8 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
| Benchmark | Claude Opus 4.8 | Qwen3 30B A3B Instruct 2507 | Leader |
|---|---|---|---|
| LiveBench data analysis | 66.0% | Not measured | Only Claude Opus 4.8 measured |
| Public Benefits Bench (Vals AI) | 68.1% | Not measured | Only Claude Opus 4.8 measured |
| SAGE (Vals AI) | 54.8% | Not measured | Only Claude Opus 4.8 measured |
| MedScribe (Vals AI) | 85.8% | Not measured | Only Claude Opus 4.8 measured |
| Vals Multimodal Index | 70.9% | Not measured | Only Claude Opus 4.8 measured |
| IFBench | 62.2% | 50.7% | Claude Opus 4.8 |
| Long context reasoning (AA-LCR) | 77.7% | 61.3% | Claude Opus 4.8 |
| DTBench | 94.9% | 67.2% | Claude Opus 4.8 |
| LMCA | 57.5% | 22.4% | Claude Opus 4.8 |
| Surface Evolver Bench | 87.5% | Not measured | Only Claude Opus 4.8 measured |
| Furniture assembly | 42.5% | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text | 1461 | 1384 | Claude Opus 4.8 |
| LMArena Text: instruction following | 1476 | 1363 | Claude Opus 4.8 |
| LMArena Text: creative writing | 1454 | 1317 | Claude Opus 4.8 |
| LMArena Vision | 1294 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Text: English | 1468 | 1391 | Claude Opus 4.8 |
| LMArena Text: non-English | 1450 | 1372 | Claude Opus 4.8 |
| LMArena Text: Chinese | 1506 | 1432 | Claude Opus 4.8 |
| LMArena Text: German | 1472 | 1379 | Claude Opus 4.8 |
| LMArena Text: Japanese | 1442 | 1337 | Claude Opus 4.8 |
| LMArena Text: Korean | 1431 | 1330 | Claude Opus 4.8 |
| LMArena Text: French | 1481 | 1419 | Claude Opus 4.8 |
| LMArena Text: Spanish | 1465 | 1404 | Claude Opus 4.8 |
| LMArena Text: Russian | 1474 | 1369 | Claude Opus 4.8 |
| LMArena Text: Polish | 1459 | 1353 | Claude Opus 4.8 |
| LMArena Text: multi-turn | 1476 | 1378 | Claude Opus 4.8 |
| LMArena Text: longer queries | 1483 | 1378 | Claude Opus 4.8 |
| LMArena Text: writing and language | 1461 | 1336 | Claude Opus 4.8 |
| LMArena Text: entertainment and media | 1440 | 1334 | Claude Opus 4.8 |
| LMArena Vision: English | 1293 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Vision: Chinese | 1346 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Vision: reading text | 1303 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Vision: humor | 1282 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Vision: creative writing | 1301 | Not measured | Only Claude Opus 4.8 measured |
| LMArena Document | 1475 | Not measured | Only Claude Opus 4.8 measured |
| EQ-Bench 4 | 1281 | Not measured | Only Claude Opus 4.8 measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.8 | Qwen3 30B A3B Instruct 2507 | 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
Claude Opus 4.8$0.018Fits in one request
Qwen3 30B A3B Instruct 2507$0.0002Fits in one request
Qwen3 30B A3B Instruct 2507 costs less
Repository review
50K input + 3K output tokens
Claude Opus 4.8$0.325Fits in one request
Qwen3 30B A3B Instruct 2507$0.0054Fits in one request
Qwen3 30B A3B Instruct 2507 costs less
Agent loop
200K input + 10K output tokens
Claude Opus 4.8$1.25Fits in one request
Qwen3 30B A3B Instruct 2507$0.021Fits in one request
Qwen3 30B A3B Instruct 2507 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 4.8 | Qwen3 30B A3B Instruct 2507 |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | Open weights |
| Released | May 27, 2026 | July 29, 2025 |
| Context window | 1M | 262K |
| Input $/Mtok | $5.00 | $0.09 |
| Output $/Mtok | $25.00 | $0.30 |
| Coding index | 65.0 | Not benchmarked |
| Independent measurements behind it | 6 | 0 |
| Cost per solved task | $2.17 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.8 better than Qwen3 30B A3B Instruct 2507 for coding?
Only Claude Opus 4.8 has a coding score, 65.0 on the Vibe Coding Index; Qwen3 30B A3B Instruct 2507 has none, so the two cannot be ranked on coding. Pick Qwen3 30B A3B Instruct 2507 for output tokens 83.3x cheaper ($0.30 vs $25.00 per million).
Which is cheaper, Claude Opus 4.8 or Qwen3 30B A3B Instruct 2507?
Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; Qwen3 30B A3B Instruct 2507 costs $0.09 and $0.30. Cost per solved task is known for Claude Opus 4.8 only.
Which has the bigger context window, Claude Opus 4.8 or Qwen3 30B A3B Instruct 2507?
Claude Opus 4.8, with 1M tokens against 262K.
How many benchmarks is the Claude Opus 4.8 vs Qwen3 30B A3B Instruct 2507 comparison based on?
40 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.8's coding index rests on 6 independent benchmarks and Qwen3 30B A3B Instruct 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.