Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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Llama 3.1 70B Hanami x1

text->text

The 2024 70B Llama that defined the open-weights chat baseline before Llama 3.3. Still common where hosts haven't upgraded yet.

Llama 3.1 70B Hanami x1 is a efficient AI model from sao10k. It costs $3.000 per million input tokens and $3.000 per million output tokens (blended $3.000/M), with a 16K-token context window.

Profile inherited from upstream Llama 3.1 70B ↗ — this is a hosted variant of the same open-weights model.

Released Jul 2024Modalities textOfficial model page ↗Pricing source ↗Compare with another model →Estimate monthly cost →
INPUT
$3.000/M
per million input tokens
OUTPUT
$3.000/M
per million output tokens
BLENDED 70/30
$3.000/M
default reference rate · how it's calculated →
CONTEXT
16K
16,000 tokens
What it's good at
  • Open weights
  • 128K context
  • Wide hosted availability
Typical use cases
  • Self-hosted chat
  • Fine-tune base
  • Cost benchmarking
Benchmarks
vs. best public score
Scores inherited from Llama 3.1 70B — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU83%
Multitask academic knowledge across 57 subjects.
GPQA Diamond47%
Graduate-level science questions, "Google-proof".
MATH68%
High-school competition math problems.
HumanEval80%
Python function synthesis from docstrings.
LMArena Elo1248 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources — treat as directional rather than authoritative.
More from sao10k
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Llama 3.3 Euryale 70B
text->text · 131K ctx
in $0.650/Mout $0.750/M
Llama 3.1 Euryale 70B v2.2
text->text · 131K ctx
in $0.850/Mout $0.850/M
Llama 3 8B Lunaris
text->text · 8K ctx
in $0.040/Mout $0.050/M
Frequently asked questions

How much does Llama 3.1 70B Hanami x1 cost?

Llama 3.1 70B Hanami x1 costs $3.000 per million input tokens and $3.000 per million output tokens, for a blended reference rate of $3.000 per million tokens.

What is Llama 3.1 70B Hanami x1's context window?

Llama 3.1 70B Hanami x1 supports up to 16K tokens of context (16,000 tokens).

What is Llama 3.1 70B Hanami x1 best for?

Llama 3.1 70B Hanami x1 is well suited to Open weights, 128K context and Wide hosted availability.

Who makes Llama 3.1 70B Hanami x1?

Llama 3.1 70B Hanami x1 is developed and served by sao10k. It was released in Jul 2024.