Qwen3 30B A3B vs Hy-MT2-7B
Hy-MT2-7B costs 1.7x less per output token than Qwen3 30B A3B ($0.295 vs $0.50 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- 38.2
- Output $/M
- $0.50
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.295
Qwen3 30B A3B or Hy-MT2-7B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3 30B A3B for a larger context window (41K against 8K tokens).
No benchmark has tested both yet. Qwen3 30B A3B has results on LiveCodeBench (Artificial Analysis run), Terminal-Bench Hard (Artificial Analysis run) and WeirdML; Hy-MT2-7B 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 30B A3B has a AA Intelligence Index result, 7.6.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3 30B A3B has a Design Arena: websites result, 954.
Directional only
Long documents
Listed context window
Qwen3 30B A3B
Qwen3 30B A3B takes 41K tokens against 8K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy-MT2-7B
Qwen3 30B A3B $0.0004, Hy-MT2-7B $0.0002 per turn.
List prices
At a glance
- Coding index
- Qwen3 30B A3B not benchmarked, Hy-MT2-7B 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 30B A3B $0.50 against Hy-MT2-7B $0.295 per million output tokens, 1.7x apart.
- Context window
- Qwen3 30B A3B takes 41K tokens, Hy-MT2-7B 8K.
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
| Benchmark | Qwen3 30B A3B | Hy-MT2-7B | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | 50.6% | Not measured | Only Qwen3 30B A3B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 6.8% | Not measured | Only Qwen3 30B A3B measured |
| WeirdML | 29.8% | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: coding | 1337 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: software and IT | 1340 | Not measured | Only Qwen3 30B A3B measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Qwen3 30B A3B | Hy-MT2-7B | Leader |
|---|---|---|---|
| AA Intelligence Index | 7.6 | Not measured | Only Qwen3 30B A3B measured |
| Epoch Capabilities Index | 137.3 | Not measured | Only Qwen3 30B A3B measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Qwen3 30B A3B | Hy-MT2-7B | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 26.0% | Not measured | Only Qwen3 30B A3B measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
| Benchmark | Qwen3 30B A3B | Hy-MT2-7B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 61.6% | Not measured | Only Qwen3 30B A3B measured |
| Humanity's Last Exam (Artificial Analysis run) | 6.2% | Not measured | Only Qwen3 30B A3B measured |
| GPQA Diamond (Epoch AI run) | 61.7% | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: hard prompts | 1314 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: expert | 1314 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: hard prompts in English | 1329 | Not measured | Only Qwen3 30B A3B measured |
| Neither model has a result on the other 16 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Qwen3 30B A3B | Hy-MT2-7B | Leader |
|---|---|---|---|
| AA Math Index | 72.3 | Not measured | Only Qwen3 30B A3B measured |
| AIME 2025 (Artificial Analysis run) | 72.3% | Not measured | Only Qwen3 30B A3B measured |
| OTIS Mock AIME | 62.8% | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: math | 1355 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: mathematical work | 1363 | Not measured | Only Qwen3 30B A3B measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Qwen3 30B A3B | Hy-MT2-7B | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 77.7% | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: science | 1321 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: medicine and healthcare | 1318 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: legal and government | 1314 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: business and finance | 1309 | Not measured | Only Qwen3 30B A3B measured |
| Neither model has a result on the other 13 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Qwen3 30B A3B | Hy-MT2-7B | Leader |
|---|---|---|---|
| Design Arena: websites | 954 | Not measured | Only Qwen3 30B A3B measured |
| Design Arena: UI components | 943 | Not measured | Only Qwen3 30B A3B measured |
| Design Arena: game dev | 898 | Not measured | Only Qwen3 30B A3B measured |
| Design Arena: data viz | 967 | Not measured | Only Qwen3 30B A3B measured |
| Design Arena: all code categories | 941 | Not measured | Only Qwen3 30B A3B measured |
| Neither model has a result on the other 4 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index23 boards measured
| Benchmark | Qwen3 30B A3B | Hy-MT2-7B | Leader |
|---|---|---|---|
| IFBench | 41.5% | Not measured | Only Qwen3 30B A3B measured |
| Long context reasoning (AA-LCR) | 0.0% | Not measured | Only Qwen3 30B A3B measured |
| DTBench | 60.3% | Not measured | Only Qwen3 30B A3B measured |
| LMCA | 15.8% | Not measured | Only Qwen3 30B A3B measured |
| Fiction.LiveBench | 40.6% | Not measured | Only Qwen3 30B A3B measured |
| Creative writing (Lech Mazur) | 75.3% | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text | 1317 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: instruction following | 1283 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: creative writing | 1271 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: English | 1335 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: non-English | 1295 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: Chinese | 1347 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: German | 1307 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: Japanese | 1254 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: Korean | 1261 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: French | 1352 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: Spanish | 1317 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: Russian | 1291 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: Polish | 1299 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: multi-turn | 1307 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: longer queries | 1312 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: writing and language | 1290 | Not measured | Only Qwen3 30B A3B measured |
| LMArena Text: entertainment and media | 1258 | Not measured | Only Qwen3 30B A3B measured |
| Neither model has a result on the other 23 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
Hy-MT2-7B costs less
Repository review
50K input + 3K output tokens
Hy-MT2-7B costs less
Agent loop
200K input + 10K output tokens
Hy-MT2-7B 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 30B A3B | Tencent Hy-MT2-7B |
|---|---|---|
| Maker | Qwen | Tencent |
| Weights | Open weights | Open weights |
| Released | April 28, 2025 | August 19, 2026 |
| Context window | 41K | 8K |
| Input $/Mtok | $0.12 | $0.074 |
| Output $/Mtok | $0.50 | $0.295 |
| 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 30B A3B better than Hy-MT2-7B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3 30B A3B for a larger context window (41K against 8K tokens).
Which is cheaper, Qwen3 30B A3B or Hy-MT2-7B?
Qwen3 30B A3B costs $0.12 per million input tokens and $0.50 per million output tokens; Hy-MT2-7B costs $0.074 and $0.295. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3 30B A3B or Hy-MT2-7B?
Qwen3 30B A3B, with 41K tokens against 8K.
Has any benchmark tested both Qwen3 30B A3B and Hy-MT2-7B?
No benchmark has tested both yet. Qwen3 30B A3B has results on LiveCodeBench (Artificial Analysis run), Terminal-Bench Hard (Artificial Analysis run) and WeirdML; Hy-MT2-7B has none yet. Compare them on price and context instead. Data as of October 22, 2026.