Qwen3 VL 30B A3B Thinking vs Relace Search
Qwen3 VL 30B A3B Thinking costs 3.0x less per output token than Relace Search ($1.00 vs $3.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $3.00
Qwen3 VL 30B A3B Thinking or Relace Search: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3 VL 30B A3B Thinking for output tokens 3.0x cheaper ($1.00 vs $3.00 per million) and a larger context window (262K against 256K tokens).
No benchmark has tested both yet. Qwen3 VL 30B A3B Thinking has results on AA Intelligence Index; Relace Search has none yet. 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Qwen3 VL 30B A3B Thinking has a AA Intelligence Index result, 9.5.
Directional only
Long documents
Listed context window
Qwen3 VL 30B A3B Thinking
Qwen3 VL 30B A3B Thinking takes 262K tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 VL 30B A3B Thinking
Qwen3 VL 30B A3B Thinking $0.0008, Relace Search $0.0025 per turn.
List prices
At a glance
- Coding index
- Qwen3 VL 30B A3B Thinking not benchmarked, Relace Search 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 VL 30B A3B Thinking $1.00 against Relace Search $3.00 per million output tokens, 3.0x apart.
- Context window
- Qwen3 VL 30B A3B Thinking takes 262K tokens, Relace Search 256K.
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
| Benchmark | Qwen3 VL 30B A3B Thinking | Relace Search | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.5 | Not measured | Only 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
Qwen3 VL 30B A3B Thinking costs less
Repository review
50K input + 3K output tokens
Qwen3 VL 30B A3B Thinking costs less
Agent loop
200K input + 10K output tokens
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.
| Specification | Qwen3 VL 30B A3B Thinking | Relace Search |
|---|---|---|
| Maker | Qwen | Relace |
| Weights | Open weights | No public weights listed |
| Released | October 6, 2025 | December 8, 2025 |
| Context window | 262K | 256K |
| Input $/Mtok | $0.29 | $1.00 |
| Output $/Mtok | $1.00 | $3.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3 VL 30B A3B Thinking better than Relace Search for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3 VL 30B A3B Thinking for output tokens 3.0x cheaper ($1.00 vs $3.00 per million) and a larger context window (262K against 256K tokens).
Which is cheaper, Qwen3 VL 30B A3B Thinking or Relace Search?
Qwen3 VL 30B A3B Thinking costs $0.29 per million input tokens and $1.00 per million output tokens; Relace Search costs $1.00 and $3.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3 VL 30B A3B Thinking or Relace Search?
Qwen3 VL 30B A3B Thinking, with 262K tokens against 256K.
Has any benchmark tested both Qwen3 VL 30B A3B Thinking and Relace Search?
No benchmark has tested both yet. Qwen3 VL 30B A3B Thinking has results on AA Intelligence Index; Relace Search has none yet. Compare them on price and context instead. Data as of October 22, 2026.