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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AI21 LabsFrontier

Jamba 1.5 Large

Frontier

SSM/Transformer hybrid with 256K context. Cheaper to serve at long context than pure Transformer architectures.

Jamba 1.5 Large is a frontier AI model from AI21 Labs. It costs $2.000 per million input tokens and $8.000 per million output tokens (blended $3.800/M), with a 256K-token context window.

Modalities textOfficial model page ↗Provider pricing ↗API docs ↗Compare with another model →Estimate monthly cost →
INPUT
$2.000/M
per million input tokens
OUTPUT
$8.000/M
per million output tokens
BLENDED 70/30
$3.800/M
default reference rate · how it's calculated →
CONTEXT
256K
256,000 tokens
What it's good at
  • 256K context
  • Cheap at long context
  • Novel architecture
Typical use cases
  • Long-document summarisation
  • Architecture research
Benchmarks
vs. best public score
MMLU81%
Multitask academic knowledge across 57 subjects.
HumanEval60%
Python function synthesis from docstrings.
LMArena Elo1190 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 AI21 Labs
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Jamba 1.5 Mini
Efficient · 256K ctx
in $0.200/Mout $0.400/M
Jamba Instruct
Previous · 256K ctx
in $0.500/Mout $0.700/M
Frequently asked questions

How much does Jamba 1.5 Large cost?

Jamba 1.5 Large costs $2.000 per million input tokens and $8.000 per million output tokens, for a blended reference rate of $3.800 per million tokens.

What is Jamba 1.5 Large's context window?

Jamba 1.5 Large supports up to 256K tokens of context (256,000 tokens).

What is Jamba 1.5 Large best for?

Jamba 1.5 Large is well suited to 256K context, Cheap at long context and Novel architecture.

Who makes Jamba 1.5 Large?

Jamba 1.5 Large is developed and served by AI21 Labs.