Qwen3.5 Plus 2026-02-15 vs Llama 3.1 Euryale 70B v2.2
Llama 3.1 Euryale 70B v2.2 costs 1.8x less per output token than Qwen3.5 Plus 2026-02-15 ($0.85 vs $1.56 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.56
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.85
Qwen3.5 Plus 2026-02-15 or Llama 3.1 Euryale 70B v2.2: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3.5 Plus 2026-02-15 for a larger context window (1M against 131K tokens).
No benchmark has tested both yet. Qwen3.5 Plus 2026-02-15 has results on Design Arena: websites, Design Arena: UI components and Design Arena: game dev; Llama 3.1 Euryale 70B v2.2 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
Web design
Design Arena: websites
No call
Only Qwen3.5 Plus 2026-02-15 has a Design Arena: websites result, 1187.
Directional only
Long documents
Listed context window
Qwen3.5 Plus 2026-02-15
Qwen3.5 Plus 2026-02-15 takes 1M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5 Plus 2026-02-15
Qwen3.5 Plus 2026-02-15 $0.0010, Llama 3.1 Euryale 70B v2.2 $0.0013 per turn.
List prices
At a glance
- Coding index
- Qwen3.5 Plus 2026-02-15 not benchmarked, Llama 3.1 Euryale 70B v2.2 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
- Qwen3.5 Plus 2026-02-15 $1.56 against Llama 3.1 Euryale 70B v2.2 $0.85 per million output tokens, 1.8x apart.
- Context window
- Qwen3.5 Plus 2026-02-15 takes 1M tokens, Llama 3.1 Euryale 70B v2.2 131K.
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.
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
| Benchmark | Qwen3.5 Plus 2026-02-15 | Llama 3.1 Euryale 70B v2.2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1187 | Not measured | Only Qwen3.5 Plus 2026-02-15 measured |
| Design Arena: UI components | 1175 | Not measured | Only Qwen3.5 Plus 2026-02-15 measured |
| Design Arena: game dev | 1105 | Not measured | Only Qwen3.5 Plus 2026-02-15 measured |
| Design Arena: data viz | 1135 | Not measured | Only Qwen3.5 Plus 2026-02-15 measured |
| Design Arena: 3D | 1118 | Not measured | Only Qwen3.5 Plus 2026-02-15 measured |
| Design Arena: all code categories | 1166 | Not measured | Only Qwen3.5 Plus 2026-02-15 measured |
| Design Arena: SVG | 1107 | Not measured | Only Qwen3.5 Plus 2026-02-15 measured |
| Design Arena: ASCII art | 1094 | Not measured | Only Qwen3.5 Plus 2026-02-15 measured |
| Neither model has a result on the other 1 board 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
Qwen3.5 Plus 2026-02-15 costs less
Repository review
50K input + 3K output tokens
Qwen3.5 Plus 2026-02-15 costs less
Agent loop
200K input + 10K output tokens
Qwen3.5 Plus 2026-02-15 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 | Qwen3.5 Plus 2026-02-15 | Sao10K Llama 3.1 Euryale 70B v2.2 |
|---|---|---|
| Maker | Qwen | Sao10K |
| Weights | No public weights listed | Open weights |
| Released | February 16, 2026 | August 28, 2024 |
| Context window | 1M | 131K |
| Input $/Mtok | $0.26 | $0.85 |
| Output $/Mtok | $1.56 | $0.85 |
| 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 Qwen3.5 Plus 2026-02-15 better than Llama 3.1 Euryale 70B v2.2 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3.5 Plus 2026-02-15 for a larger context window (1M against 131K tokens).
Which is cheaper, Qwen3.5 Plus 2026-02-15 or Llama 3.1 Euryale 70B v2.2?
Qwen3.5 Plus 2026-02-15 costs $0.26 per million input tokens and $1.56 per million output tokens; Llama 3.1 Euryale 70B v2.2 costs $0.85 and $0.85. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3.5 Plus 2026-02-15 or Llama 3.1 Euryale 70B v2.2?
Qwen3.5 Plus 2026-02-15, with 1M tokens against 131K.
Has any benchmark tested both Qwen3.5 Plus 2026-02-15 and Llama 3.1 Euryale 70B v2.2?
No benchmark has tested both yet. Qwen3.5 Plus 2026-02-15 has results on Design Arena: websites, Design Arena: UI components and Design Arena: game dev; Llama 3.1 Euryale 70B v2.2 has none yet. Compare them on price and context instead. Data as of October 22, 2026.