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Gemini 2.5 Pro Preview 06-05 vs Qwen3 VL 30B A3B Thinking

Qwen3 VL 30B A3B Thinking costs 10.0x less per output token than Gemini 2.5 Pro Preview 06-05 ($1.00 vs $10.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Gemini 2.5 Pro Preview 06-05Google
Coding
No data
Overall
No data
Output $/M
$10.00
Qwen3 VL 30B A3B ThinkingQwen
Coding
No data
Overall
No data
Output $/M
$1.00
vs $10.00 vs $1.00 per 1M output tokens. Qwen3 VL 30B A3B Thinking is 10.0x cheaper.

Gemini 2.5 Pro Preview 06-05 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 Gemini 2.5 Pro Preview 06-05 for a larger context window (1.05M against 262K tokens).

No benchmark has tested both yet. Gemini 2.5 Pro Preview 06-05 has results on Aider polyglot, LiveCodeBench (Vals AI) and LiveCodeBench (Artificial Analysis run); 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
Gemini 2.5 Pro Preview 06-05 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
Gemini 2.5 Pro Preview 06-05 $10.00 against Qwen3 VL 30B A3B Thinking $1.00 per million output tokens, 10.0x apart.
Context window
Gemini 2.5 Pro Preview 06-05 takes 1.05M tokens, Qwen3 VL 30B A3B Thinking 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 Index5 boards measured
Coding benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3 VL 30B A3B Thinking
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3 VL 30B A3B ThinkingLeader
Aider polyglot83.1%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LiveCodeBench (Vals AI)79.2%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LiveCodeBench (Artificial Analysis run)77.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SciCode7.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 34 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3 VL 30B A3B Thinking
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3 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
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Agentic work benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3 VL 30B A3B Thinking
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3 VL 30B A3B ThinkingLeader
METR time horizons55.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Remote Labor Index0.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
DeepResearch Bench42.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 38 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Reasoning benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3 VL 30B A3B Thinking
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3 VL 30B A3B ThinkingLeader
GPQA Diamond (Artificial Analysis run)83.6%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Humanity's Last Exam (Artificial Analysis run)19.9%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
GPQA Diamond (Epoch AI run)84.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SimpleBench62.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
VPCT46.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 17 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Knowledge benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3 VL 30B A3B Thinking
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3 VL 30B A3B ThinkingLeader
MMLU Pro (Artificial Analysis run)85.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 17 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
General benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3 VL 30B A3B Thinking
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3 VL 30B A3B ThinkingLeader
Fiction.LiveBench91.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 45 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

Gemini 2.5 Pro Preview 06-05$0.0063Fits 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

Gemini 2.5 Pro Preview 06-05$0.092Fits 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

Gemini 2.5 Pro Preview 06-05$0.350Fits 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 Gemini 2.5 Pro Preview 06-05 and Qwen3 VL 30B A3B Thinking
SpecificationGoogle Gemini 2.5 Pro Preview 06-05Qwen3 VL 30B A3B Thinking
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedJune 5, 2025October 6, 2025
Context window1.05M262K
Input $/Mtok$1.25$0.29
Output $/Mtok$10.00$1.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro Preview 06-05 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 Gemini 2.5 Pro Preview 06-05 for a larger context window (1.05M against 262K tokens).

Which is cheaper, Gemini 2.5 Pro Preview 06-05 or Qwen3 VL 30B A3B Thinking?

Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10.00 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, Gemini 2.5 Pro Preview 06-05 or Qwen3 VL 30B A3B Thinking?

Gemini 2.5 Pro Preview 06-05, with 1.05M tokens against 262K.

Has any benchmark tested both Gemini 2.5 Pro Preview 06-05 and Qwen3 VL 30B A3B Thinking?

No benchmark has tested both yet. Gemini 2.5 Pro Preview 06-05 has results on Aider polyglot, LiveCodeBench (Vals AI) and LiveCodeBench (Artificial Analysis run); Qwen3 VL 30B A3B Thinking on AA Intelligence Index. Compare them on price and context instead. Data as of October 22, 2026.

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