AI21 Labs has launched a newer model, Jamba 1.6 Large, we suggest considering this model instead.
For more information, see Comparison of Jamba 1.6 Large to other models and API provider benchmarks for Jamba 1.6 Large.
Jamba 1.5 Large Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: This information is still being updated |
| Output modality | This information is still being updated |
| Knowledge cutoff | Mar 5, 2024 |
| Context window | 256k ~384 A4 pages of size 12 Arial font |
| Total parameters | 398B |
| Active parameters | 94B Number of parameters active per token during inference |
| License | Jamba Open Model License Agreement |
| Model weights | Hugging Face |
Jamba 1.5 Large is among the least intelligent models and particularly expensive when comparing to other open weight non-reasoning models of similar size. The model has a 256k tokens context window with knowledge up to March 2024.
Jamba 1.5 Large scores 11 on the Artificial Analysis Intelligence Index, placing it at the lower end among comparable models (averaging 22). When evaluating the Intelligence Index, it generated 1.3M tokens, which is very concise in comparison to the average of 8.1M.
Pricing for Jamba 1.5 Large is $2.00 per 1M input tokens (expensive, average: $0.56) and $8.00 per 1M output tokens (expensive, average: $1.59). In total, it cost $13.60 to evaluate Jamba 1.5 Large on the Intelligence Index.
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Jamba 1.5 Large API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about Jamba 1.5 Large
Jamba 1.5 Large was released on August 22, 2024.
Jamba 1.5 Large was created by AI21 Labs.
Jamba 1.5 Large scores 11 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 22).
Jamba 1.5 Large costs $2.00 per 1M input tokens (at the higher end, median: $0.60) and $8.00 per 1M output tokens (at the higher end, median: $2.33), based on the median across providers serving the model.
Jamba 1.5 Large costs $2.00 per 1M input tokens and $8.00 per 1M output tokens (based on the median across providers serving the model). For a blended rate (3:1 input to output ratio), this is $3.50 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Jamba 1.5 Large generated 1.3M output tokens, which is very competitive compared to other open weight non-reasoning models of similar size (median: 8.1M).
No, Jamba 1.5 Large is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Jamba 1.5 Large supports text only input.
Jamba 1.5 Large supports text only output.
No, Jamba 1.5 Large does not support image input. It can only process text.
No, Jamba 1.5 Large is not multimodal. It only supports text only input.
Jamba 1.5 Large has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Jamba 1.5 Large is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Jamba 1.5 Large has 398 billion parameters (94 billion active).
Jamba 1.5 Large is a Mixture of Experts (MoE) model with 398 billion total parameters, but only 94 billion active parameters are used during inference.
Jamba 1.5 Large is released under the Jamba Open Model License Agreement license. This license allows commercial use. View license
Jamba 1.5 Large achieves a score of 11 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Jamba 1.5 Large has a knowledge cutoff of March 2024. The model's training data includes information up to this date.
Yes, Jamba 1.5 Large is available via API through 1 provider. Compare API providers
Jamba 1.5 Large is available through 1 API provider. Compare providers