Jamba 1.5 Large
Jamba 1.5 Large is AI21 Labs's language model with a 256K context window and up to 8K output tokens, available from 4 providers, starting at $2.00 / 1M input and $2.80 / 1M output. The large-tier variant of AI21's Jamba 1.5 hybrid SSM-Transformer model, delivering high-quality output for complex enterprise language tasks.
AI21 Labs's language model with a 256K context window and up to 8K output tokens, available from 4 providers, starting at $2.00 / 1M input and $2.80 / 1M output. The large-tier variant of AI21's Jamba 1.5 hybrid SSM-Transformer model, delivering high-quality output for complex enterprise language tasks.10.7#367 |
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Capabilities
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Output1/5
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Pricing by Provider
| Provider | Standard | Batch | ||
|---|---|---|---|---|
| Input $ / 1M | Output $ / 1M | Input $ / 1M | Output $ / 1M | |
AI21 Labs | $2.00 | $8.00 | — | — |
 Amazon Bedrock | $2.00 | $8.00 | — | — |
 Google Vertex AI | $2.00 | $8.00 | — | — |
 Snowflake | $2.80 | $2.80 | $1.40 | $1.40 |
Regional pricing
Provider-specific pricing that varies by region.
Amazon Bedrock
3 regions
| Region | Standard | |
|---|---|---|
| Input $ / 1M | Output $ / 1M | |
| Global | ||
| Global | $2.00 | $8.00 |
| Europe | ||
| Europe (Frankfurt)/ eu-central-1 | $2.00 | $8.00 |
| US | ||
| US East (Virginia)/ us-east-1 | $2.00 | $8.00 |
Cost Calculator
Preset:
Compares every provider & tier in USD
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| Jamba 1.7 Large | 256K | $2.00 | $8.00 | Available | |
| Jamba 1.5 Large | 256K | $2.00 | $2.80 | Current | |
| Jamba 1.6 Large | — | 256K | $2.00 | $8.00 | Available |
Other models
| Model | Tier | Released | Context | Input / 1M | Output / 1M |
|---|---|---|---|---|---|
| Jamba 1.5 Mini | Mini | 256K | $0.200 | $0.200 | |
| Jamba 1.5 | — | — | 256K | $0.200 | $0.400 |
| Jamba 1.6 Mini | Mini | — | 256K | $0.200 | $0.400 |
| Jamba 1.7 Mini | Mini | — | 256K | $0.200 | $0.400 |
| Jamba Instruct | — | — | 256K | $0.500 | $0.700 |
| Jamba Reasoning 3B | — | — | — | — | — |