Mistral Nemo vs Qwen3 VL 30B A3B Thinking
Mistral Nemo costs 6.7x less per output token than Qwen3 VL 30B A3B Thinking ($0.15 vs $1.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.15
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.00
Mistral Nemo 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 Mistral Nemo for output tokens 6.7x cheaper ($0.15 vs $1.00 per million).
No benchmark has tested both yet. Mistral Nemo has results on Epoch Capabilities Index, MMLU and DTBench; 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.
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 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Nemo
Mistral Nemo $0.0002, Qwen3 VL 30B A3B Thinking $0.0008 per turn.
List prices
At a glance
- Coding index
- Mistral Nemo 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
- Mistral Nemo $0.15 against Qwen3 VL 30B A3B Thinking $1.00 per million output tokens, 6.7x apart.
- Context window
- Mistral Nemo takes 131K 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.
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Mistral Nemo | Qwen3 VL 30B A3B Thinking | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 9.5 | Only Qwen3 VL 30B A3B Thinking measured |
| Epoch Capabilities Index | 118.7 | Not measured | Only Mistral Nemo measured |
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Mistral Nemo | Qwen3 VL 30B A3B Thinking | Leader |
|---|---|---|---|
| MMLU | 65.3% | Not measured | Only Mistral Nemo 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
| Benchmark | Mistral Nemo | Qwen3 VL 30B A3B Thinking | Leader |
|---|---|---|---|
| DTBench | 48.6% | Not measured | Only Mistral Nemo 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
Mistral Nemo costs less
Repository review
50K input + 3K output tokens
Mistral Nemo costs less
Agent loop
200K input + 10K output tokens
Mistral Nemo 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 | Mistral Nemo | Qwen3 VL 30B A3B Thinking |
|---|---|---|
| Maker | Mistral AI | Qwen |
| Weights | Open weights | Open weights |
| Released | July 19, 2024 | October 6, 2025 |
| Context window | 131K | 262K |
| Input $/Mtok | $0.15 | $0.29 |
| Output $/Mtok | $0.15 | $1.00 |
| 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 Mistral Nemo 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 Mistral Nemo for output tokens 6.7x cheaper ($0.15 vs $1.00 per million).
Which is cheaper, Mistral Nemo or Qwen3 VL 30B A3B Thinking?
Mistral Nemo costs $0.15 per million input tokens and $0.15 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, Mistral Nemo or Qwen3 VL 30B A3B Thinking?
Qwen3 VL 30B A3B Thinking, with 262K tokens against 131K.
Has any benchmark tested both Mistral Nemo and Qwen3 VL 30B A3B Thinking?
No benchmark has tested both yet. Mistral Nemo has results on Epoch Capabilities Index, MMLU and DTBench; Qwen3 VL 30B A3B Thinking on AA Intelligence Index. Compare them on price and context instead. Data as of October 22, 2026.