This model was retired on 2026-11-26. The pricing below is the last-known rate, kept for migration reference.
Context
256K
Max output
256K
Serving providers
3
Cheapest input
$2.00 /1M
Prices are on-demand list rates. Enterprise commitments (committed-use discounts, provisioned throughput, negotiated rates) can be materially lower.
Benchmarks
independent evaluations · source: Artificial AnalysisHeadline indices
Intelligence Index
4.8
of 100
Individual benchmarks · click a row for effort variants
| Benchmark | Best score | Effort | Cost / task | |
|---|---|---|---|---|
| EvalComputeProxy | 22.2 | default | — | |
| GPQA Diamond | 43% | default | — | |
| Humanity's Last Exam | 4% | default | — | |
| LiveCodeBench | 14% | default | — | |
| MMLU-Pro | 57% | default | — | |
| SciCode | 16% | default | — |
Pricing by serving provider
last-known · per 1M tokens · click a provider to expand| Serving provider | Input /1M | Output /1M | Endpoints | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Amazon Bedrock | $2.00 | $8.00 | 1 | ||||||||||||||||
| |||||||||||||||||||
| Ai21 | $2.00 | $8.00 | 1 | ||||||||||||||||
| |||||||||||||||||||
| Vertex AI Ai21 Models | $2.00 | $8.00 | 1 | ||||||||||||||||
| |||||||||||||||||||
Price history
input + output $/1M since we started tracking Input Output
Cost calculator
estimate your monthly spend on this model$1,040
estimated / month
Model IDs
copy the exact identifier for your platformai21.jamba-1-5-large-v1:0jamba-1.5-largevertex_ai/jamba-1.5-large
Frequently asked questions
Jamba 1.5 Large pricing, context and availabilityIs Jamba 1.5 Large still available?
Jamba 1.5 Large was retired on 2026-11-26. The pricing on this page is the last-known rate, kept for migration reference.
How much did Jamba 1.5 Large cost?
Jamba 1.5 Large's last-known pricing, before it was retired on 2026-11-26, was $2.00 per 1M input tokens and $8.00 per 1M output tokens.
What was the context window of Jamba 1.5 Large?
Jamba 1.5 Large had a 256K token context window and could return up to 256K output tokens.
What could Jamba 1.5 Large do?
Jamba 1.5 Large supported tool use.
Other AI21 models
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