Qwen3.5 397B A17B vs Llama 3.3 Euryale 70B

Qwen3.5 397B A17B at $0.449 in and $2.69 out and Llama 3.3 Euryale 70B at $0.748 in and $0.863 out — per million tokens, from the same wallet.

Qwen3.5 397B A17B

Qwen

0.44¢

for a client proposal

$0.449 in · $2.69 out / 1M

262K context · released 6 months ago

Full page →

Llama 3.3 Euryale 70B

Sao10k

0.44¢

for a client proposal

$0.748 in · $0.863 out / 1M

131K context · released December 2024

Full page →

Asking all both at once — identical prompt, identical context — costs about 0.88¢ for a typical client proposal.

At a glance

Cheapest input: Qwen3.5 397B A17B at $0.449 per million tokens.
Cheapest output: Llama 3.3 Euryale 70B at $0.863 per million tokens.
Largest context: Qwen3.5 397B A17B at 262K tokens — about 370 pages.

Cost per task

Estimated totals at the rates above. Solid bar is input, lighter bar is output.

Quick code fix

2K in · 500 out

Qwen3.5 397B A17B

0.22¢

Llama 3.3 Euryale 70B

0.19¢

Draft a client proposal from notes

5K in · 800 out

Qwen3.5 397B A17B

0.44¢

Llama 3.3 Euryale 70B

0.44¢

Context-heavy session (Alyph workspace)

155K in · 4K out

Qwen3.5 397B A17B

$0.08

Llama 3.3 Euryale 70B

needs 155K ctx

Analyze a 50-page legal contract

35K in · 1K out

Qwen3.5 397B A17B

1.8¢

Llama 3.3 Euryale 70B

2.7¢

Large architecture refactor

250K in · 3K out

Qwen3.5 397B A17B

$0.12

Llama 3.3 Euryale 70B

needs 250K ctx

Solid part of each bar is input tokens, the lighter part is output. Models that don’t fit a task are marked instead of priced.

Cost vs Token Amount

Drag the slider to adjust the split between input and output workload.

80% Input20% Output

Qwen3.5 397B A17B

Llama 3.3 Euryale 70B

Adjust the ratio slider to change how output tokens influence the final price for equivalent workloads.

Pricing

Qwen3.5 397B A17B

Llama 3.3 Euryale 70B

Input / 1M tokens

$0.449

$0.748

Output / 1M tokens

$2.69

$0.863

Specs

Qwen3.5 397B A17B

Llama 3.3 Euryale 70B

Provider

Qwen

Sao10k

Released

6 months ago

December 2024

Context window

262K

131K

Max output

66K

16K

Input

Text, Images, and Video

Text

Output

Text

Reasoning

Shows its thinking

Answers directly

Knowledge cutoff

—

2023-12-31

Try it with real numbers

2K tokens in · 500 tokens out.

Qwen3.5 397B A17B

Qwen

0.22¢

for this task

40% input · 60% output

Full pricing →

Llama 3.3 Euryale 70B

Sao10k

0.19¢

for this task

78% input · 22% output

Full pricing →

All 2, same prompt and context: 0.42¢. That is the entire cost of the comparison.

Your $5 welcome credit covers about 1,199 of these.

Which should you pick?

For long documents, Qwen3.5 397B A17B has the largest context window here — 262K tokens.

On price, Qwen3.5 397B A17B is the cheapest of the two on a typical task, at about 0.44¢.

For images or files, Qwen3.5 397B A17B can read them directly; Llama 3.3 Euryale 70B is text-only.

If you want to watch the model think, Qwen3.5 397B A17B shows reasoning; the other answers directly.

Or don’t pick. Send the identical prompt to all both, read the answers side by side, and keep the winner. How to run a fair bake-off →

Qwen3.5 397B A17B pricing →Llama 3.3 Euryale 70B pricing →Add Lyria 3 Clip Preview Add Grok 4.20

Questions, answered

Which is cheaper, Qwen3.5 397B A17B or Llama 3.3 Euryale 70B?

On a typical client proposal (5K tokens in, 800 out): Qwen3.5 397B A17B at 0.44¢; Llama 3.3 Euryale 70B at 0.44¢. Long prompts can change the order when long-context rates apply.

Which has the largest context window?

Qwen3.5 397B A17B — 262K tokens, about 370 pages.

Can I run Qwen3.5 397B A17B and Llama 3.3 Euryale 70B side by side on Alyph?

Yes — that is what Alyph is built for: the identical prompt with identical context to all 2, answers rendered side by side, billed from one wallet. This exact combination costs about 0.88¢ for a typical task.

Ask both at once

Identical prompt, identical context, answers side by side — about 0.88¢ for a typical client proposal. Free to start, with $5 of credit.