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Qwen3.5-Flash vs Qwen3 Coder 30B A3B Instruct

Qwen3.5-Flash costs 1.7x less per output token than Qwen3 Coder 30B A3B Instruct ($0.26 vs $0.44 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Qwen3.5-FlashQwen
Coding
41.1
Overall
50.1
Output $/M
$0.26
Qwen3 Coder 30B A3B InstructQwen
Coding
No data
Overall
No data
Output $/M
$0.44
vs $0.26 vs $0.44 per 1M output tokens. Qwen3.5-Flash is 1.7x cheaper.

Qwen3.5-Flash or Qwen3 Coder 30B A3B Instruct: which to pick

Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; Qwen3 Coder 30B A3B Instruct has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

No benchmark has tested both yet. Qwen3.5-Flash has results on LMArena WebDev, LiveCodeBench (Vals AI) and SWE-bench Verified (Vals AI); Qwen3 Coder 30B A3B Instruct on SWE-bench Verified, SWE-bench Lite and LiveCodeBench (Artificial Analysis run). Compare them on price and context instead.

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
Qwen3.5-Flash 41.1 from 2 benchmarks, Qwen3 Coder 30B A3B Instruct not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Qwen3.5-Flash $0.26 against Qwen3 Coder 30B A3B Instruct $0.44 per million output tokens, 1.7x apart.
Context window
Qwen3.5-Flash takes 1M tokens, Qwen3 Coder 30B A3B Instruct 262K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index12 boards measured
Coding benchmarks for Qwen3.5-Flash and Qwen3 Coder 30B A3B Instruct
BenchmarkQwen3.5-FlashQwen3 Coder 30B A3B InstructLeader
SWE-bench VerifiedNot measured60.4%Only Qwen3 Coder 30B A3B Instruct measured
SWE-bench LiteNot measured49.7%Only Qwen3 Coder 30B A3B Instruct measured
LMArena WebDev1244Not measuredOnly Qwen3.5-Flash measured
LiveCodeBench (Vals AI)83.3%Not measuredOnly Qwen3.5-Flash measured
SWE-bench Verified (Vals AI)64.4%Not measuredOnly Qwen3.5-Flash measured
LiveCodeBench (Artificial Analysis run)Not measured40.3%Only Qwen3 Coder 30B A3B Instruct measured
Terminal-Bench Hard (Artificial Analysis run)Not measured15.2%Only Qwen3 Coder 30B A3B Instruct measured
ALE-Bench265.9Not measuredOnly Qwen3.5-Flash measured
LMArena Text: coding1412Not measuredOnly Qwen3.5-Flash measured
LMArena Text: software and IT1416Not measuredOnly Qwen3.5-Flash measured
LMArena WebDev: React1229Not measuredOnly Qwen3.5-Flash measured
LMArena WebDev: HTML1291Not measuredOnly Qwen3.5-Flash measured
Neither model has a result on the other 27 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Qwen3.5-Flash and Qwen3 Coder 30B A3B Instruct
BenchmarkQwen3.5-FlashQwen3 Coder 30B A3B InstructLeader
AA Intelligence IndexNot measured9.6Only Qwen3 Coder 30B A3B Instruct measured
Epoch Capabilities Index143.5Not measuredOnly Qwen3.5-Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Agentic work benchmarks for Qwen3.5-Flash and Qwen3 Coder 30B A3B Instruct
BenchmarkQwen3.5-FlashQwen3 Coder 30B A3B InstructLeader
τ²-Bench TelecomNot measured34.5%Only Qwen3 Coder 30B A3B Instruct measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index10 boards measured
Reasoning benchmarks for Qwen3.5-Flash and Qwen3 Coder 30B A3B Instruct
BenchmarkQwen3.5-FlashQwen3 Coder 30B A3B InstructLeader
GPQA Diamond82.8%Not measuredOnly Qwen3.5-Flash measured
MMMU Pro (Vals AI)81.9%Not measuredOnly Qwen3.5-Flash measured
GPQA Diamond (Artificial Analysis run)Not measured51.6%Only Qwen3 Coder 30B A3B Instruct measured
Humanity's Last Exam (Artificial Analysis run)Not measured3.8%Only Qwen3 Coder 30B A3B Instruct measured
GPQA Diamond (Epoch AI run)82.3%Not measuredOnly Qwen3.5-Flash measured
Chess puzzles14.0%Not measuredOnly Qwen3.5-Flash measured
Mystery game puzzles20.0%Not measuredOnly Qwen3.5-Flash measured
LMArena Text: hard prompts1403Not measuredOnly Qwen3.5-Flash measured
LMArena Text: expert1407Not measuredOnly Qwen3.5-Flash measured
LMArena Text: hard prompts in English1409Not measuredOnly Qwen3.5-Flash measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
Math benchmarks for Qwen3.5-Flash and Qwen3 Coder 30B A3B Instruct
BenchmarkQwen3.5-FlashQwen3 Coder 30B A3B InstructLeader
AIME92.5%Not measuredOnly Qwen3.5-Flash measured
AA Math IndexNot measured29.0Only Qwen3 Coder 30B A3B Instruct measured
AIME 2025 (Artificial Analysis run)Not measured29.0%Only Qwen3 Coder 30B A3B Instruct measured
OTIS Mock AIME84.4%Not measuredOnly Qwen3.5-Flash measured
FrontierMath, tiers 1 to 318.2%Not measuredOnly Qwen3.5-Flash measured
LMArena Text: math1407Not measuredOnly Qwen3.5-Flash measured
LMArena Text: mathematical work1413Not measuredOnly Qwen3.5-Flash measured
Neither model has a result on the other 6 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards measured
Knowledge benchmarks for Qwen3.5-Flash and Qwen3 Coder 30B A3B Instruct
BenchmarkQwen3.5-FlashQwen3 Coder 30B A3B InstructLeader
MMLU Pro84.1%Not measuredOnly Qwen3.5-Flash measured
LegalBench (Vals AI)84.3%Not measuredOnly Qwen3.5-Flash measured
CaseLaw (Vals AI)56.0%Not measuredOnly Qwen3.5-Flash measured
CorpFin (Vals AI)63.6%Not measuredOnly Qwen3.5-Flash measured
TaxEval (Vals AI)72.2%Not measuredOnly Qwen3.5-Flash measured
MortgageTax (Vals AI)67.4%Not measuredOnly Qwen3.5-Flash measured
MedCode (Vals AI)33.0%Not measuredOnly Qwen3.5-Flash measured
MMLU Pro (Artificial Analysis run)Not measured70.6%Only Qwen3 Coder 30B A3B Instruct measured
SimpleQA Verified20.3%Not measuredOnly Qwen3.5-Flash measured
LMArena Text: science1415Not measuredOnly Qwen3.5-Flash measured
LMArena Text: medicine and healthcare1407Not measuredOnly Qwen3.5-Flash measured
LMArena Text: legal and government1398Not measuredOnly Qwen3.5-Flash measured
LMArena Text: business and finance1394Not measuredOnly Qwen3.5-Flash measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Web design benchmarks for Qwen3.5-Flash and Qwen3 Coder 30B A3B Instruct
BenchmarkQwen3.5-FlashQwen3 Coder 30B A3B InstructLeader
Design Arena: websitesNot measured1087Only Qwen3 Coder 30B A3B Instruct measured
Design Arena: UI componentsNot measured1043Only Qwen3 Coder 30B A3B Instruct measured
Design Arena: data vizNot measured1085Only Qwen3 Coder 30B A3B Instruct measured
Neither model has a result on the other 6 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index23 boards measured
General benchmarks for Qwen3.5-Flash and Qwen3 Coder 30B A3B Instruct
BenchmarkQwen3.5-FlashQwen3 Coder 30B A3B InstructLeader
SAGE (Vals AI)42.5%Not measuredOnly Qwen3.5-Flash measured
MedScribe (Vals AI)70.6%Not measuredOnly Qwen3.5-Flash measured
IFBenchNot measured32.7%Only Qwen3 Coder 30B A3B Instruct measured
Long context reasoning (AA-LCR)Not measured32.7%Only Qwen3 Coder 30B A3B Instruct measured
DTBench82.9%Not measuredOnly Qwen3.5-Flash measured
LMCA29.1%Not measuredOnly Qwen3.5-Flash measured
LMArena Text1397Not measuredOnly Qwen3.5-Flash measured
LMArena Text: instruction following1374Not measuredOnly Qwen3.5-Flash measured
LMArena Text: creative writing1343Not measuredOnly Qwen3.5-Flash measured
LMArena Text: English1404Not measuredOnly Qwen3.5-Flash measured
LMArena Text: non-English1385Not measuredOnly Qwen3.5-Flash measured
LMArena Text: Chinese1445Not measuredOnly Qwen3.5-Flash measured
LMArena Text: German1390Not measuredOnly Qwen3.5-Flash measured
LMArena Text: Japanese1369Not measuredOnly Qwen3.5-Flash measured
LMArena Text: Korean1344Not measuredOnly Qwen3.5-Flash measured
LMArena Text: French1413Not measuredOnly Qwen3.5-Flash measured
LMArena Text: Spanish1400Not measuredOnly Qwen3.5-Flash measured
LMArena Text: Russian1380Not measuredOnly Qwen3.5-Flash measured
LMArena Text: Polish1376Not measuredOnly Qwen3.5-Flash measured
LMArena Text: multi-turn1393Not measuredOnly Qwen3.5-Flash measured
LMArena Text: longer queries1392Not measuredOnly Qwen3.5-Flash measured
LMArena Text: writing and language1369Not measuredOnly Qwen3.5-Flash measured
LMArena Text: entertainment and media1347Not measuredOnly Qwen3.5-Flash measured
Neither model has a result on the other 23 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

Qwen3.5-Flash$0.0002Fits in one request
Qwen3 Coder 30B A3B Instruct$0.0003Fits in one request

Qwen3.5-Flash costs less

Repository review

50K input + 3K output tokens

Qwen3.5-Flash$0.0040Fits in one request
Qwen3 Coder 30B A3B Instruct$0.0068Fits in one request

Qwen3.5-Flash costs less

Agent loop

200K input + 10K output tokens

Qwen3.5-Flash$0.016Fits in one request
Qwen3 Coder 30B A3B Instruct$0.026Fits in one request

Qwen3.5-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.

Specifications of Qwen3.5-Flash and Qwen3 Coder 30B A3B Instruct
SpecificationQwen3.5-FlashQwen3 Coder 30B A3B Instruct
MakerQwenQwen
WeightsNo public weights listedOpen weights
ReleasedFebruary 25, 2026July 31, 2025
Context window1M262K
Input $/Mtok$0.065$0.11
Output $/Mtok$0.26$0.44
Coding index41.1Not benchmarked
Independent measurements behind it20
Cost per solved task$0.40Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5-Flash better than Qwen3 Coder 30B A3B Instruct for coding?

Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; Qwen3 Coder 30B A3B Instruct has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Qwen3.5-Flash or Qwen3 Coder 30B A3B Instruct?

Qwen3.5-Flash costs $0.065 per million input tokens and $0.26 per million output tokens; Qwen3 Coder 30B A3B Instruct costs $0.11 and $0.44. Cost per solved task is known for Qwen3.5-Flash only.

Which has the bigger context window, Qwen3.5-Flash or Qwen3 Coder 30B A3B Instruct?

Qwen3.5-Flash, with 1M tokens against 262K.

Has any benchmark tested both Qwen3.5-Flash and Qwen3 Coder 30B A3B Instruct?

No benchmark has tested both yet. Qwen3.5-Flash has results on LMArena WebDev, LiveCodeBench (Vals AI) and SWE-bench Verified (Vals AI); Qwen3 Coder 30B A3B Instruct on SWE-bench Verified, SWE-bench Lite and LiveCodeBench (Artificial Analysis run). Compare them on price and context instead. Data as of October 22, 2026.

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