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DeepSeek V3.1 vs Qwen3 Coder 30B A3B Instruct

Updated October 21, 2026. 4 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

DeepSeek V3.1DeepSeek
Coding
No data
Overall
13.7
Output $/M
$1.50
4
Qwen3 Coder 30B A3B InstructQwen
Coding
No data
Overall
9.6
Output $/M
$0.44
0
vs boards won of 4 shared

Decision reading

Neither model has a coding score yet, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
4
DeepSeek V3.1 only
6
Qwen3 Coder 30B A3B Instruct only
12
Like-for-like categories
2 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.

At a glance

Coding index
DeepSeek V3.1 not benchmarked, Qwen3 Coder 30B A3B Instruct not benchmarked.
Widest category
Intelligence, 4.1 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: UI components: DeepSeek V3.1 1085 against Qwen3 Coder 30B A3B Instruct 1046, 4.9 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 $1.50 against Qwen3 Coder 30B A3B Instruct $0.44 per million output tokens, 3.4x apart.
Context window
DeepSeek V3.1 takes 164K tokens, Qwen3 Coder 30B A3B Instruct 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.

Boards won, where both have a result
CategoryDeepSeek V3.1BarsQwen3 Coder 30B A3B InstructTies
Intelligence10
Web design30
All shared boards40
CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards, none shared
Coding benchmarks for DeepSeek V3.1 and Qwen3 Coder 30B A3B Instruct
BenchmarkDeepSeek V3.1Qwen3 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
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
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V3.1 and Qwen3 Coder 30B A3B Instruct
BenchmarkDeepSeek V3.1Qwen3 Coder 30B A3B InstructLeader
AA Intelligence Index13.79.6DeepSeek V3.1
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for DeepSeek V3.1 and Qwen3 Coder 30B A3B Instruct
BenchmarkDeepSeek V3.1Qwen3 Coder 30B A3B InstructLeader
τ²-Bench TelecomNot measured34.5%Only Qwen3 Coder 30B A3B Instruct measured
Neither model has a result on the other 38 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Reasoning benchmarks for DeepSeek V3.1 and Qwen3 Coder 30B A3B Instruct
BenchmarkDeepSeek V3.1Qwen3 Coder 30B A3B InstructLeader
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
Neither model has a result on the other 19 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for DeepSeek V3.1 and Qwen3 Coder 30B A3B Instruct
BenchmarkDeepSeek V3.1Qwen3 Coder 30B A3B InstructLeader
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
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Knowledge benchmarks for DeepSeek V3.1 and Qwen3 Coder 30B A3B Instruct
BenchmarkDeepSeek V3.1Qwen3 Coder 30B A3B InstructLeader
MMLU Pro (Artificial Analysis run)Not measured70.6%Only Qwen3 Coder 30B A3B Instruct measured
Neither model has a result on the other 16 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index30
Web design benchmarks for DeepSeek V3.1 and Qwen3 Coder 30B A3B Instruct
BenchmarkDeepSeek V3.1Qwen3 Coder 30B A3B InstructLeader
Design Arena: websites11231087DeepSeek V3.1
Design Arena: UI components10851046DeepSeek V3.1
Design Arena: game dev1084Not measuredOnly DeepSeek V3.1 measured
Design Arena: data viz10951085DeepSeek V3.1
Design Arena: 3D1077Not measuredOnly DeepSeek V3.1 measured
Design Arena: all code categories1112Not measuredOnly DeepSeek V3.1 measured
Design Arena: SVG967Not measuredOnly DeepSeek V3.1 measured
Neither model has a result on the other 2 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
General benchmarks for DeepSeek V3.1 and Qwen3 Coder 30B A3B Instruct
BenchmarkDeepSeek V3.1Qwen3 Coder 30B A3B InstructLeader
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
DTBench82.7%Not measuredOnly DeepSeek V3.1 measured
LMCA24.3%Not measuredOnly DeepSeek V3.1 measured
Neither model has a result on the other 42 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.1 and Qwen3 Coder 30B A3B Instruct
BenchmarkDeepSeek V3.1Qwen3 Coder 30B A3B InstructLeader
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

DeepSeek V3.1$0.0013Fits in one request
Qwen3 Coder 30B A3B Instruct$0.0003Fits in one request

Qwen3 Coder 30B A3B Instruct costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.1$0.032Fits in one request
Qwen3 Coder 30B A3B Instruct$0.0068Fits in one request

Qwen3 Coder 30B A3B Instruct costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.1$0.125Exceeds the context window
Qwen3 Coder 30B A3B Instruct$0.026Fits in one request

Qwen3 Coder 30B A3B Instruct 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 DeepSeek V3.1 and Qwen3 Coder 30B A3B Instruct
SpecificationDeepSeek V3.1Qwen3 Coder 30B A3B Instruct
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedAugust 21, 2025July 31, 2025
Context window164K262K
Input $/Mtok$0.55$0.11
Output $/Mtok$1.50$0.44
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.1 better than Qwen3 Coder 30B A3B Instruct for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, DeepSeek V3.1 or Qwen3 Coder 30B A3B Instruct?

DeepSeek V3.1 costs $0.55 per million input tokens and $1.50 per million output tokens; Qwen3 Coder 30B A3B Instruct costs $0.11 and $0.44. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V3.1 or Qwen3 Coder 30B A3B Instruct?

Qwen3 Coder 30B A3B Instruct, with 262K tokens against 164K.

How many benchmarks is the DeepSeek V3.1 vs Qwen3 Coder 30B A3B Instruct comparison based on?

4 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.1's coding index rests on 0 independent benchmarks and Qwen3 Coder 30B A3B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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