AI21 Labs model product
State-of-the-art hybrid SSM-Transformer instruction following foundation model, offering superior long context handling, speed, and quality.
Updated Aug 17, 2026. Default version: Jamba 1.5 Large
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Jamba 1.5 Large.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkARC-C | Score93.0% | Rank07 | Participants34 | Percentile81.8% | EvidenceC | Evaluated |
| BenchmarkWild Bench | Score48.5% | Rank07 | Participants8 | Percentile14.3% | EvidenceC | Evaluated |
| BenchmarkTruthfulQA | Score58.3% | Rank09 | Participants18 | Percentile52.9% | EvidenceC | Evaluated |
| BenchmarkArena Hard | Score65.4% | Rank12 | Participants26 | Percentile56.0% | EvidenceC | Evaluated |
| BenchmarkGSM8k | Score87.0% | Rank33 | Participants48 | Percentile31.9% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score81.2% | Rank53 | Participants101 | Percentile48.0% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score53.5% | Rank114 | Participants134 | Percentile15.0% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score36.9% | Rank215 | Participants239 | Percentile10.1% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext style control | Categoryoverall | Rank266 | Rating / score1289.3 | Votes8,662 | ObservationsN/A | Result date |
| Arenatext | Categoryoverall | Rank271 | Rating / score1237.1 | Votes8,662 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
The default version has no current input or output token prices.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for Jamba 1.5 Large. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderBedrock | Output Speed100 tok/s | Catalog Latency0.5 s | Max Input256K | Max Output256K | Updated |
| ProviderGoogle | Output Speed42 tok/s | Catalog Latency0.3 s | Max Input256K | Max Output256K | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionJamba 1.5 Large | Released | LLMBoard2.0 | Parameters398B | Context256K | Max output256K | Open weightsNo | LicenseJamba Open Model License |
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Key information about Jamba 1.5 Large and its available data.
State-of-the-art hybrid SSM-Transformer instruction following foundation model, offering superior long context handling, speed, and quality.
Data as of 2026-08-17.
Common questions about Jamba 1.5 Large.
Jamba 1.5 Large's default version was released on Aug 22, 2024.
No official standard PAYG price is currently available for Jamba 1.5 Large.
Jamba 1.5 Large was created by AI21 Labs.
The default version has a 256K token context window.
No. The default version is not marked as having publicly available weights.
No provider offering is currently linked to the default version.
Nearby ranked alternatives include Qwen3.5 2B, Gemini Diffusion, Llama 3.1 Nemotron 70B.