Qwen3 Coder 30B A3B Instruct vs Pareto 26.9
Qwen3 Coder 30B A3B Instruct costs 17.0x less per output token than Pareto 26.9 ($0.44 vs $7.50 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.44
- Coding
- No data
- Overall
- No data
- Output $/M
- $7.50
Qwen3 Coder 30B A3B Instruct or Pareto 26.9: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3 Coder 30B A3B Instruct for output tokens 17.0x cheaper ($0.44 vs $7.50 per million).
No benchmark has tested both yet. Qwen3 Coder 30B A3B Instruct has results on SWE-bench Verified, SWE-bench Lite and LiveCodeBench (Artificial Analysis run); Pareto 26.9 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 Coder 30B A3B Instruct has a AA Intelligence Index result, 9.6.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3 Coder 30B A3B Instruct has a Design Arena: websites result, 1087.
Directional only
Long documents
Listed context window
No call
Both take 262K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 Coder 30B A3B Instruct
Qwen3 Coder 30B A3B Instruct $0.0003, Pareto 26.9 $0.0063 per turn.
List prices
At a glance
- Coding index
- Qwen3 Coder 30B A3B Instruct not benchmarked, Pareto 26.9 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 Coder 30B A3B Instruct $0.44 against Pareto 26.9 $7.50 per million output tokens, 17.0x 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.
CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards measured
| Benchmark | Qwen3 Coder 30B A3B Instruct | Pareto 26.9 | Leader |
|---|---|---|---|
| SWE-bench Verified | 60.4% | Not measured | Only Qwen3 Coder 30B A3B Instruct measured |
| SWE-bench Lite | 49.7% | Not measured | Only Qwen3 Coder 30B A3B Instruct measured |
| LiveCodeBench (Artificial Analysis run) | 40.3% | Not measured | Only Qwen3 Coder 30B A3B Instruct measured |
| Terminal-Bench Hard (Artificial Analysis run) | 15.2% | Not measured | Only Qwen3 Coder 30B A3B Instruct measured |
| Neither model has a result on the other 35 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Qwen3 Coder 30B A3B Instruct | Pareto 26.9 | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.6 | Not measured | Only Qwen3 Coder 30B A3B Instruct measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Qwen3 Coder 30B A3B Instruct | Pareto 26.9 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 34.5% | Not measured | Only Qwen3 Coder 30B A3B Instruct measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Qwen3 Coder 30B A3B Instruct | Pareto 26.9 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 51.6% | Not measured | Only Qwen3 Coder 30B A3B Instruct measured |
| Humanity's Last Exam (Artificial Analysis run) | 3.8% | Not measured | Only Qwen3 Coder 30B A3B Instruct measured |
| Neither model has a result on the other 20 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Qwen3 Coder 30B A3B Instruct | Pareto 26.9 | Leader |
|---|---|---|---|
| AA Math Index | 29.0 | Not measured | Only Qwen3 Coder 30B A3B Instruct measured |
| AIME 2025 (Artificial Analysis run) | 29.0% | Not measured | Only Qwen3 Coder 30B A3B Instruct measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Qwen3 Coder 30B A3B Instruct | Pareto 26.9 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 70.6% | Not measured | Only Qwen3 Coder 30B A3B Instruct measured |
| Neither model has a result on the other 17 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | Qwen3 Coder 30B A3B Instruct | Pareto 26.9 | Leader |
|---|---|---|---|
| Design Arena: websites | 1087 | Not measured | Only Qwen3 Coder 30B A3B Instruct measured |
| Design Arena: UI components | 1043 | Not measured | Only Qwen3 Coder 30B A3B Instruct measured |
| Design Arena: data viz | 1085 | Not measured | Only Qwen3 Coder 30B A3B Instruct measured |
| Neither model has a result on the other 6 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Qwen3 Coder 30B A3B Instruct | Pareto 26.9 | Leader |
|---|---|---|---|
| IFBench | 32.7% | Not measured | Only Qwen3 Coder 30B A3B Instruct measured |
| Long context reasoning (AA-LCR) | 32.7% | Not measured | Only Qwen3 Coder 30B A3B Instruct measured |
| Neither model has a result on the other 44 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
Qwen3 Coder 30B A3B Instruct costs less
Repository review
50K input + 3K output tokens
Qwen3 Coder 30B A3B Instruct costs less
Agent loop
200K input + 10K output tokens
Qwen3 Coder 30B A3B Instruct 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 Coder 30B A3B Instruct | Pareto 26.9 |
|---|---|---|
| Maker | Qwen | Unbiased |
| Weights | Open weights | No public weights listed |
| Released | July 31, 2025 | October 13, 2026 |
| Context window | 262K | 262K |
| Input $/Mtok | $0.11 | $2.50 |
| Output $/Mtok | $0.44 | $7.50 |
| 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 Coder 30B A3B Instruct better than Pareto 26.9 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3 Coder 30B A3B Instruct for output tokens 17.0x cheaper ($0.44 vs $7.50 per million).
Which is cheaper, Qwen3 Coder 30B A3B Instruct or Pareto 26.9?
Qwen3 Coder 30B A3B Instruct costs $0.11 per million input tokens and $0.44 per million output tokens; Pareto 26.9 costs $2.50 and $7.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3 Coder 30B A3B Instruct or Pareto 26.9?
Neither: both take 262K tokens.
Has any benchmark tested both Qwen3 Coder 30B A3B Instruct and Pareto 26.9?
No benchmark has tested both yet. Qwen3 Coder 30B A3B Instruct has results on SWE-bench Verified, SWE-bench Lite and LiveCodeBench (Artificial Analysis run); Pareto 26.9 has none yet. Compare them on price and context instead. Data as of October 22, 2026.