qwen
Llama 3.3 Euryale 70B vs Qwen3.6 Plus
68.9 overall · $0.731 / 1M
// sao10k
Llama 3.3 Euryale 70B
sao10k/l3.3-euryale-70b
Llama 3.3 Euryale 70B costs $0.650 per 1M input tokens and $0.750 per 1M output tokens with a 131K-token context window.
A model from sao10k, released Dec 18, 2024. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.650
- Output / 1M
- $0.750
- Context
- 131K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.650 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $0.750 |
| Blended price 3:1 input:output — #165 cheapest of 343 listed models | $0.675 |
| Cached input read Blank means not priced separately — not free | — |
| Cache write | — |
| Context window | 131,072 tokens |
| Max output | 16,384 tokens |
| Input modalities | text |
| Tool calling | No |
| Extended reasoning | No |
| Knowledge cutoff | 2023-12-31 |
| Listed | Dec 18, 2024 |
What Llama 3.3 Euryale 70B costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $216.00/mo |
| RAG assistant 8K in / 600 out × 100K requests | $565.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $580.00/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $706.25/mo |
| Bulk classification 500 in / 20 out × 5M requests | $1,700/mo |
Compare Llama 3.3 Euryale 70B with
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z-ai
Llama 3.3 Euryale 70B vs GLM 5.3
76.1 overall · $0.862 / 1M
minimax
Llama 3.3 Euryale 70B vs MiniMax M3
67.3 overall · $0.525 / 1M
qwen
Llama 3.3 Euryale 70B vs Qwen3.6 27B
64.0 overall · $0.915 / 1M
openai
Llama 3.3 Euryale 70B vs GPT-5.4 Nano
69.6 overall · $0.463 / 1M
Llama 3.3 Euryale 70B FAQ
How much does Llama 3.3 Euryale 70B cost?
Llama 3.3 Euryale 70B lists at $0.650 per 1M input tokens and $0.750 per 1M output tokens. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $565.00 at list price.
What is the context window of Llama 3.3 Euryale 70B?
Llama 3.3 Euryale 70B accepts up to 131,072 tokens of context and can return up to 16,384 output tokens per response.
Does Llama 3.3 Euryale 70B support tool calling?
Llama 3.3 Euryale 70B does not list tool (function) calling support. It accepts text input.
How does Llama 3.3 Euryale 70B score on benchmarks?
LiveBench has not published a run for Llama 3.3 Euryale 70B yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for Llama 3.3 Euryale 70B?
On OpenRouter the model ID is "sao10k/l3.3-euryale-70b". It was listed on Dec 18, 2024.
More from sao10k
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.