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Qwen3 30B A3B Instruct 2507 vs Qwen3.5 Plus 2026-04-20

Qwen3 30B A3B Instruct 2507 costs 6.0x less per output token than Qwen3.5 Plus 2026-04-20 ($0.30 vs $1.80 per million). Updated October 22, 2026; 4 benchmarks have a result for both.

Qwen3 30B A3B Instruct 2507Qwen
Coding
No data
Overall
41.5
Output $/M
$0.30
0
Qwen3.5 Plus 2026-04-20Qwen
Coding
39.5
Overall
No data
Output $/M
$1.80
4
vs boards won of 4 shared

Qwen3 30B A3B Instruct 2507 or Qwen3.5 Plus 2026-04-20: which to pick

Only Qwen3.5 Plus 2026-04-20 has a coding score, 39.5 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 6.0x cheaper ($0.30 vs $1.80 per million).

Shared results
4
Qwen3 30B A3B Instruct 2507 only
41
Qwen3.5 Plus 2026-04-20 only
21
Like-for-like categories
3 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.

At a glance

Coding index
Qwen3 30B A3B Instruct 2507 not benchmarked, Qwen3.5 Plus 2026-04-20 39.5 from 2 benchmarks.
Widest category
Reasoning, 29.2 points apart on average over 1 shared benchmark.
Widest single gap
GPQA Diamond (Epoch AI run): Qwen3 30B A3B Instruct 2507 55.6% against Qwen3.5 Plus 2026-04-20 84.8%, 29.2 points apart on a 0 to 100 scale.
Output price
Qwen3 30B A3B Instruct 2507 $0.30 against Qwen3.5 Plus 2026-04-20 $1.80 per million output tokens, 6.0x apart.
Context window
Qwen3 30B A3B Instruct 2507 takes 262K tokens, Qwen3.5 Plus 2026-04-20 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.

Boards won, where both have a result
CategoryQwen3 30B A3B Instruct 2507BarsQwen3.5 Plus 2026-04-20Ties
Reasoning01
Math01
General02
All shared boards04
CodingDirectional onlySix of these boards feed the Vibe Coding Index9 boards, none shared
Coding benchmarks for Qwen3 30B A3B Instruct 2507 and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3 30B A3B Instruct 2507Qwen3.5 Plus 2026-04-20Leader
LiveCodeBench (Vals AI)Not measured85.3%Only Qwen3.5 Plus 2026-04-20 measured
SWE-bench Verified (Vals AI)Not measured71.2%Only Qwen3.5 Plus 2026-04-20 measured
Vibe Code Bench (Vals AI)Not measured15.7%Only Qwen3.5 Plus 2026-04-20 measured
LiveCodeBench (Artificial Analysis run)70.7%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
SciCode33.0%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
Terminal-Bench Hard (Artificial Analysis run)6.1%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
ALE-BenchNot measured608.9Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text: coding1416Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: software and IT1417Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
Neither model has a result on the other 34 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Qwen3 30B A3B Instruct 2507 and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3 30B A3B Instruct 2507Qwen3.5 Plus 2026-04-20Leader
AA Intelligence Index7.5Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
Epoch Capabilities IndexNot measured146.2Only Qwen3.5 Plus 2026-04-20 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for Qwen3 30B A3B Instruct 2507 and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3 30B A3B Instruct 2507Qwen3.5 Plus 2026-04-20Leader
τ²-Bench Telecom28.1%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
Vending-Bench 2Not measured$1Only Qwen3.5 Plus 2026-04-20 measured
Berkeley Function Calling Leaderboard (BFCL)41.4%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
Reasoning benchmarks for Qwen3 30B A3B Instruct 2507 and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3 30B A3B Instruct 2507Qwen3.5 Plus 2026-04-20Leader
GPQA DiamondNot measured87.4%Only Qwen3.5 Plus 2026-04-20 measured
MMMU Pro (Vals AI)Not measured22.8%Only Qwen3.5 Plus 2026-04-20 measured
GPQA Diamond (Artificial Analysis run)70.7%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
Humanity's Last Exam (Artificial Analysis run)10.3%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
GPQA Diamond (Epoch AI run)55.6%84.8%Qwen3.5 Plus 2026-04-20
Chess puzzlesNot measured8.0%Only Qwen3.5 Plus 2026-04-20 measured
Mystery game puzzlesNot measured17.0%Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text: hard prompts1398Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: expert1397Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: hard prompts in English1406Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index01
Math benchmarks for Qwen3 30B A3B Instruct 2507 and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3 30B A3B Instruct 2507Qwen3.5 Plus 2026-04-20Leader
AIMENot measured86.0%Only Qwen3.5 Plus 2026-04-20 measured
AA Math Index66.3Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
AIME 2025 (Artificial Analysis run)66.3%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
OTIS Mock AIME62.2%86.7%Qwen3.5 Plus 2026-04-20
LMArena Text: math1394Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: mathematical work1411Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
Neither model has a result on the other 8 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Knowledge benchmarks for Qwen3 30B A3B Instruct 2507 and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3 30B A3B Instruct 2507Qwen3.5 Plus 2026-04-20Leader
MMLU ProNot measured87.2%Only Qwen3.5 Plus 2026-04-20 measured
LegalBench (Vals AI)Not measured85.1%Only Qwen3.5 Plus 2026-04-20 measured
CaseLaw (Vals AI)Not measured59.7%Only Qwen3.5 Plus 2026-04-20 measured
CorpFin (Vals AI)Not measured65.3%Only Qwen3.5 Plus 2026-04-20 measured
MortgageTax (Vals AI)Not measured60.8%Only Qwen3.5 Plus 2026-04-20 measured
MedQA (Vals AI)Not measured95.2%Only Qwen3.5 Plus 2026-04-20 measured
MMLU Pro (Artificial Analysis run)80.5%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
SimpleQA VerifiedNot measured25.4%Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text: science1393Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: medicine and healthcare1392Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: legal and government1387Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: business and finance1389Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
Neither model has a result on the other 8 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Qwen3 30B A3B Instruct 2507 and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3 30B A3B Instruct 2507Qwen3.5 Plus 2026-04-20Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for Qwen3 30B A3B Instruct 2507 and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3 30B A3B Instruct 2507Qwen3.5 Plus 2026-04-20Leader
SAGE (Vals AI)Not measured30.4%Only Qwen3.5 Plus 2026-04-20 measured
IFBench50.7%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
Long context reasoning (AA-LCR)61.3%Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
DTBench67.2%80.5%Qwen3.5 Plus 2026-04-20
LMCA22.4%36.4%Qwen3.5 Plus 2026-04-20
CL-benchNot measured19.8%Only Qwen3.5 Plus 2026-04-20 measured
CL-bench LifeNot measured12.4%Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text1384Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: instruction following1363Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: creative writing1317Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: English1391Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: non-English1372Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: Chinese1432Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: German1379Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: Japanese1337Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: Korean1330Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: French1419Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: Spanish1404Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: Russian1369Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: Polish1353Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: multi-turn1378Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: longer queries1378Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: writing and language1336Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
LMArena Text: entertainment and media1334Not measuredOnly Qwen3 30B A3B Instruct 2507 measured
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3 30B A3B Instruct 2507 and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3 30B A3B Instruct 2507Qwen3.5 Plus 2026-04-20Leader
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 30B A3B Instruct 2507$0.0002Fits in one request
Qwen3.5 Plus 2026-04-20$0.0012Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Repository review

50K input + 3K output tokens

Qwen3 30B A3B Instruct 2507$0.0054Fits in one request
Qwen3.5 Plus 2026-04-20$0.020Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Agent loop

200K input + 10K output tokens

Qwen3 30B A3B Instruct 2507$0.021Fits in one request
Qwen3.5 Plus 2026-04-20$0.078Fits 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.

Specifications of Qwen3 30B A3B Instruct 2507 and Qwen3.5 Plus 2026-04-20
SpecificationQwen3 30B A3B Instruct 2507Qwen3.5 Plus 2026-04-20
MakerQwenQwen
WeightsOpen weightsNo public weights listed
ReleasedJuly 29, 2025April 27, 2026
Context window262K1M
Input $/Mtok$0.09$0.30
Output $/Mtok$0.30$1.80
Coding indexNot benchmarked39.5
Independent measurements behind it02
Cost per solved taskNot computable$1.35
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3 30B A3B Instruct 2507 better than Qwen3.5 Plus 2026-04-20 for coding?

Only Qwen3.5 Plus 2026-04-20 has a coding score, 39.5 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 6.0x cheaper ($0.30 vs $1.80 per million).

Which is cheaper, Qwen3 30B A3B Instruct 2507 or Qwen3.5 Plus 2026-04-20?

Qwen3 30B A3B Instruct 2507 costs $0.09 per million input tokens and $0.30 per million output tokens; Qwen3.5 Plus 2026-04-20 costs $0.30 and $1.80. Cost per solved task is known for Qwen3.5 Plus 2026-04-20 only.

Which has the bigger context window, Qwen3 30B A3B Instruct 2507 or Qwen3.5 Plus 2026-04-20?

Qwen3.5 Plus 2026-04-20, with 1M tokens against 262K.

How many benchmarks is the Qwen3 30B A3B Instruct 2507 vs Qwen3.5 Plus 2026-04-20 comparison based on?

4 benchmarks have a result for both models as of October 22, 2026. Qwen3 30B A3B Instruct 2507's coding index rests on 0 independent benchmarks and Qwen3.5 Plus 2026-04-20's on 2. Where only one model has a result, the page says so instead of naming a winner.

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