Llama 3.1 Euryale 70B v2.2 vs Llama 3.3 Euryale 70B
Llama 3.1 Euryale 70B v2.2 and Llama 3.3 Euryale 70B cost about the same per output token ($0.85 vs $0.75 per million). Updated November 14, 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
- $0.75
Llama 3.1 Euryale 70B v2.2 or Llama 3.3 Euryale 70B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
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
No call
Both take 131K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 3.3 Euryale 70B
Llama 3.1 Euryale 70B v2.2 $0.0013, Llama 3.3 Euryale 70B $0.0010 per turn.
List prices
At a glance
- Coding index
- Llama 3.1 Euryale 70B v2.2 not benchmarked, Llama 3.3 Euryale 70B 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 Llama 3.3 Euryale 70B $0.75 per million output tokens, 1.1x apart.
- Context window
- Both take 131K 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.
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
Llama 3.3 Euryale 70B costs less
Repository review
50K input + 3K output tokens
Llama 3.3 Euryale 70B costs less
Agent loop
200K input + 10K output tokens
Llama 3.3 Euryale 70B 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 | Sao10K Llama 3.3 Euryale 70B |
|---|---|---|
| Maker | Sao10K | Sao10K |
| Weights | Open weights | Open weights |
| Released | August 28, 2024 | December 18, 2024 |
| Context window | 131K | 131K |
| Input $/Mtok | $0.85 | $0.65 |
| Output $/Mtok | $0.85 | $0.75 |
| 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 Llama 3.3 Euryale 70B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Llama 3.1 Euryale 70B v2.2 or Llama 3.3 Euryale 70B?
Llama 3.1 Euryale 70B v2.2 costs $0.85 per million input tokens and $0.85 per million output tokens; Llama 3.3 Euryale 70B costs $0.65 and $0.75. Cost per solved task is known for neither of them.
Which has the bigger context window, Llama 3.1 Euryale 70B v2.2 or Llama 3.3 Euryale 70B?
Neither: both take 131K tokens.
Has any benchmark tested both Llama 3.1 Euryale 70B v2.2 and Llama 3.3 Euryale 70B?
No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of November 14, 2026.