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Mixtral 8x22B Instruct vs Qwen3 VL 30B A3B Thinking

Qwen3 VL 30B A3B Thinking leads Mixtral 8x22B Instruct on the Artificial Analysis Intelligence Index, 9.5 to 5.7, and Qwen3 VL 30B A3B Thinking costs 6.0x less per output token ($1.00 vs $6.00 per million). Updated October 22, 2026; 1 benchmarks have a result for both.

Replace Mixtral 8x22B Instruct Replace Qwen3 VL 30B A3B Thinking
Mixtral 8x22B InstructMistral AI
Coding
No data
Overall
No data
Output $/M
$6.00
0
Qwen3 VL 30B A3B ThinkingQwen
Coding
No data
Overall
No data
Output $/M
$1.00
1
vs boards won of 1 shared

Mixtral 8x22B Instruct or Qwen3 VL 30B A3B Thinking: which to pick

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

Pick Mixtral 8x22B Instruct for work measured by AA Intelligence Index, where it leads.

Model AMixtral 8x22B InstructMistral AINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 VL 30B A3B ThinkingQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
1
Mixtral 8x22B Instruct only
7
Qwen3 VL 30B A3B Thinking only
0
Like-for-like categories
1 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
Mixtral 8x22B Instruct not benchmarked, Qwen3 VL 30B A3B Thinking not benchmarked.
Widest category
Intelligence, 3.8 points apart on average over 1 shared benchmark.
Widest single gap
AA Intelligence Index: Mixtral 8x22B Instruct 5.7 against Qwen3 VL 30B A3B Thinking 9.5, 3.8 points apart on a 0 to 100 scale.
Output price
Mixtral 8x22B Instruct $6.00 against Qwen3 VL 30B A3B Thinking $1.00 per million output tokens, 6.0x apart.
Context window
Mixtral 8x22B Instruct takes 66K tokens, Qwen3 VL 30B A3B Thinking 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
CategoryMixtral 8x22B InstructBarsQwen3 VL 30B A3B ThinkingTies
Intelligence01
All shared boards01
CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards, none shared
Coding benchmarks for Mixtral 8x22B Instruct and Qwen3 VL 30B A3B Thinking
BenchmarkMixtral 8x22B InstructQwen3 VL 30B A3B ThinkingLeader
LiveCodeBench (Artificial Analysis run)14.8%Not measuredOnly Mixtral 8x22B Instruct measured
SciCode0.0%Not measuredOnly Mixtral 8x22B Instruct measured
Neither model has a result on the other 37 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Mixtral 8x22B Instruct and Qwen3 VL 30B A3B Thinking
BenchmarkMixtral 8x22B InstructQwen3 VL 30B A3B ThinkingLeader
AA Intelligence Index5.79.5Qwen3 VL 30B A3B Thinking
Epoch Capabilities Index122.0Not measuredOnly Mixtral 8x22B Instruct measured
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for Mixtral 8x22B Instruct and Qwen3 VL 30B A3B Thinking
BenchmarkMixtral 8x22B InstructQwen3 VL 30B A3B ThinkingLeader
Neither model has a result on 41 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Reasoning benchmarks for Mixtral 8x22B Instruct and Qwen3 VL 30B A3B Thinking
BenchmarkMixtral 8x22B InstructQwen3 VL 30B A3B ThinkingLeader
GPQA Diamond (Artificial Analysis run)33.2%Not measuredOnly Mixtral 8x22B Instruct measured
Humanity's Last Exam (Artificial Analysis run)4.0%Not measuredOnly Mixtral 8x22B Instruct measured
Neither model has a result on the other 20 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Mixtral 8x22B Instruct and Qwen3 VL 30B A3B Thinking
BenchmarkMixtral 8x22B InstructQwen3 VL 30B A3B ThinkingLeader
Neither model has a result on 13 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Knowledge benchmarks for Mixtral 8x22B Instruct and Qwen3 VL 30B A3B Thinking
BenchmarkMixtral 8x22B InstructQwen3 VL 30B A3B ThinkingLeader
MMLU Pro (Artificial Analysis run)53.7%Not measuredOnly Mixtral 8x22B Instruct measured
Neither model has a result on the other 17 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Mixtral 8x22B Instruct and Qwen3 VL 30B A3B Thinking
BenchmarkMixtral 8x22B InstructQwen3 VL 30B A3B ThinkingLeader
Neither model has a result on 9 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
General benchmarks for Mixtral 8x22B Instruct and Qwen3 VL 30B A3B Thinking
BenchmarkMixtral 8x22B InstructQwen3 VL 30B A3B ThinkingLeader
DTBench55.1%Not measuredOnly Mixtral 8x22B Instruct measured
Neither model has a result on the other 45 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Mixtral 8x22B Instruct and Qwen3 VL 30B A3B Thinking
BenchmarkMixtral 8x22B InstructQwen3 VL 30B A3B ThinkingLeader
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

Mixtral 8x22B Instruct$0.0050Fits in one request
Qwen3 VL 30B A3B Thinking$0.0008Fits in one request

Qwen3 VL 30B A3B Thinking costs less

Repository review

50K input + 3K output tokens

Mixtral 8x22B Instruct$0.118Fits in one request
Qwen3 VL 30B A3B Thinking$0.018Fits in one request

Qwen3 VL 30B A3B Thinking costs less

Agent loop

200K input + 10K output tokens

Mixtral 8x22B Instruct$0.460Exceeds the context window
Qwen3 VL 30B A3B Thinking$0.068Fits in one request

Qwen3 VL 30B A3B Thinking 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 Mixtral 8x22B Instruct and Qwen3 VL 30B A3B Thinking
SpecificationMistral Mixtral 8x22B InstructQwen3 VL 30B A3B Thinking
MakerMistral AIQwen
WeightsOpen weightsOpen weights
ReleasedApril 17, 2024October 6, 2025
Context window66K262K
Input $/Mtok$2.00$0.29
Output $/Mtok$6.00$1.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mixtral 8x22B Instruct better than Qwen3 VL 30B A3B Thinking for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mixtral 8x22B Instruct for work measured by AA Intelligence Index, where it leads.

Which is cheaper, Mixtral 8x22B Instruct or Qwen3 VL 30B A3B Thinking?

Mixtral 8x22B Instruct costs $2.00 per million input tokens and $6.00 per million output tokens; Qwen3 VL 30B A3B Thinking costs $0.29 and $1.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Mixtral 8x22B Instruct or Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking, with 262K tokens against 66K.

How many benchmarks is the Mixtral 8x22B Instruct vs Qwen3 VL 30B A3B Thinking comparison based on?

1 benchmarks have a result for both models as of October 22, 2026. Mixtral 8x22B Instruct's coding index rests on 0 independent benchmarks and Qwen3 VL 30B A3B Thinking's on 0. Where only one model has a result, the page says so instead of naming a winner.

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