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Morph V3 Large vs Qwen3 VL 30B A3B Thinking

Qwen3 VL 30B A3B Thinking costs 1.9x less per output token than Morph V3 Large ($1.00 vs $1.90 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Morph V3 LargeMorph
Coding
No data
Overall
No data
Output $/M
$1.90
Qwen3 VL 30B A3B ThinkingQwen
Coding
No data
Overall
No data
Output $/M
$1.00
vs $1.90 vs $1.00 per 1M output tokens. Qwen3 VL 30B A3B Thinking is 1.9x cheaper.

Morph V3 Large or Qwen3 VL 30B A3B Thinking: which to pick

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

Compare them on price, context and the boards below.

No benchmark has tested both yet. Morph V3 Large has none yet; Qwen3 VL 30B A3B Thinking on AA Intelligence Index. 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
Morph V3 Large not benchmarked, Qwen3 VL 30B A3B Thinking 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
Morph V3 Large $1.90 against Qwen3 VL 30B A3B Thinking $1.00 per million output tokens, 1.9x apart.
Context window
Both take 262K tokens.

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.

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Morph V3 Large and Qwen3 VL 30B A3B Thinking
BenchmarkMorph V3 LargeQwen3 VL 30B A3B ThinkingLeader
AA Intelligence IndexNot measured9.5Only Qwen3 VL 30B A3B Thinking measured
Neither model has a result on the other 1 board 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

Morph V3 Large$0.0019Fits 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

Morph V3 Large$0.051Fits 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

Morph V3 Large$0.199Fits in one request
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 Morph V3 Large and Qwen3 VL 30B A3B Thinking
SpecificationMorph V3 LargeQwen3 VL 30B A3B Thinking
MakerMorphQwen
WeightsNo public weights listedOpen weights
ReleasedJuly 7, 2025October 6, 2025
Context window262K262K
Input $/Mtok$0.90$0.29
Output $/Mtok$1.90$1.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Morph V3 Large better than Qwen3 VL 30B A3B Thinking 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, Morph V3 Large or Qwen3 VL 30B A3B Thinking?

Morph V3 Large costs $0.90 per million input tokens and $1.90 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, Morph V3 Large or Qwen3 VL 30B A3B Thinking?

Neither: both take 262K tokens.

Has any benchmark tested both Morph V3 Large and Qwen3 VL 30B A3B Thinking?

No benchmark has tested both yet. Morph V3 Large has none yet; Qwen3 VL 30B A3B Thinking on AA Intelligence Index. Compare them on price and context instead. Data as of October 21, 2026.

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