Llama 3.1 Euryale 70B v2.2 vs Hy-MT2-30B-A3B
Hy-MT2-30B-A3B costs 2.9x less per output token than Llama 3.1 Euryale 70B v2.2 ($0.295 vs $0.85 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.85
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.295
Llama 3.1 Euryale 70B v2.2 or Hy-MT2-30B-A3B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Llama 3.1 Euryale 70B v2.2 for a larger context window (131K against 8K tokens).
No benchmark has tested either model yet, so price and context are the only way to compare them.
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
Long documents
Listed context window
Llama 3.1 Euryale 70B v2.2
Llama 3.1 Euryale 70B v2.2 takes 131K tokens against 8K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy-MT2-30B-A3B
Llama 3.1 Euryale 70B v2.2 $0.0013, Hy-MT2-30B-A3B $0.0002 per turn.
List prices
At a glance
- Coding index
- Llama 3.1 Euryale 70B v2.2 not benchmarked, Hy-MT2-30B-A3B 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
- Llama 3.1 Euryale 70B v2.2 $0.85 against Hy-MT2-30B-A3B $0.295 per million output tokens, 2.9x apart.
- Context window
- Llama 3.1 Euryale 70B v2.2 takes 131K tokens, Hy-MT2-30B-A3B 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.
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-MT2-30B-A3B costs less
Repository review
50K input + 3K output tokens
Hy-MT2-30B-A3B costs less
Agent loop
200K input + 10K output tokens
Hy-MT2-30B-A3B 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 | Sao10K Llama 3.1 Euryale 70B v2.2 | Tencent Hy-MT2-30B-A3B |
|---|---|---|
| Maker | Sao10K | Tencent |
| Weights | Open weights | Open weights |
| Released | August 28, 2024 | August 20, 2026 |
| Context window | 131K | 8K |
| Input $/Mtok | $0.85 | $0.074 |
| Output $/Mtok | $0.85 | $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 Llama 3.1 Euryale 70B v2.2 better than Hy-MT2-30B-A3B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Llama 3.1 Euryale 70B v2.2 for a larger context window (131K against 8K tokens).
Which is cheaper, Llama 3.1 Euryale 70B v2.2 or Hy-MT2-30B-A3B?
Llama 3.1 Euryale 70B v2.2 costs $0.85 per million input tokens and $0.85 per million output tokens; Hy-MT2-30B-A3B costs $0.074 and $0.295. Cost per solved task is known for neither of them.
Which has the bigger context window, Llama 3.1 Euryale 70B v2.2 or Hy-MT2-30B-A3B?
Llama 3.1 Euryale 70B v2.2, with 131K tokens against 8K.
Has any benchmark tested both Llama 3.1 Euryale 70B v2.2 and Hy-MT2-30B-A3B?
No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 22, 2026.