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AI21 Labs model product

Jamba 1.5 Large

5 Large is a hybrid SSM-Transformer instruction-following foundation model from AI21 Labs.

Updated Oct 23, 2026. Default version: Jamba 1.5 Large

LLMBoard Score0.0Jamba 1.5 Large
Coverage40%8 benchmark families
Context window256KTokens
Official input priceN/AOfficial price unavailable

On this page

  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Runtime
  • Specification
  • Versions
  • Similar models
  • About
  • FAQ

Jamba 1.5 Large Capability Profile

This profile uses the model's current scored version. Arena ratings and prices are shown separately.

Jamba 1.5 Large LLMBoard score breakdown

Jamba 1.5 Large Benchmark Results

Benchmark scores for Jamba 1.5 Large.

10 rows
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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkARC-CScore93.00%Rank07Participants35Percentile82.35%EvidenceCEvaluatedOct 22, 2026
BenchmarkWild BenchScore48.50%Rank07Participants8Percentile14.29%EvidenceCEvaluatedOct 22, 2026
BenchmarkTruthfulQAScore58.30%Rank09Participants18Percentile52.94%EvidenceCEvaluatedOct 22, 2026
BenchmarkArena HardScore65.40%Rank13Participants27Percentile53.85%EvidenceCEvaluatedOct 22, 2026
BenchmarkGSM8kScore87.00%Rank33Participants48Percentile31.91%EvidenceCEvaluatedOct 22, 2026
BenchmarkMMLUScore81.20%Rank55Participants103Percentile47.06%EvidenceCEvaluatedOct 22, 2026
BenchmarkMMLU-ProScore53.50%Rank122Participants142Percentile14.18%EvidenceCEvaluatedOct 22, 2026
BenchmarkLM Arena TextScore1,237.05 ratingRank195Participants218Percentile10.60%EvidenceAEvaluatedOct 20, 2026
BenchmarkLM Arena Text Style ControlScore1,289.52 ratingRank196Participants218Percentile10.14%EvidenceAEvaluatedOct 20, 2026
BenchmarkGPQAScore36.90%Rank232Participants256Percentile9.41%EvidenceCEvaluatedOct 22, 2026

Jamba 1.5 Large Arena Results

Preference and agent-evaluation results for the default version.

30 of 50 rows
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Arena
Category
Rank
Rating / score
Votes
Observations
Result date
Arenatext style controlCategoryjapaneseRank172Rating / score1,178.75Votes242ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryjapaneseRank175Rating / score1,118.25Votes242ObservationsN/AResult dateOct 20, 2026
ArenatextCategorygermanRank179Rating / score1,199.88Votes234ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategorygermanRank179Rating / score1,253.35Votes234ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryindustry legal and governmentRank186Rating / score1,325.52Votes448ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryindustry entertainment and sports and mediaRank187Rating / score1,270.44Votes1,433ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryexpertRank188Rating / score1,285.06Votes331ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryindustry life and physical and social scienceRank191Rating / score1,313.37Votes1,358ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryindustry writing and literature and languageRank191Rating / score1,277.19Votes2,350ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryexpertRank192Rating / score1,217.57Votes331ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryindustry legal and governmentRank192Rating / score1,264.08Votes448ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategorycreative writingRank192Rating / score1,261.27Votes1,379ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryenglishRank192Rating / score1,315.30Votes4,915ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryindustry entertainment and sports and mediaRank193Rating / score1,218.15Votes1,433ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryenglishRank194Rating / score1,266.67Votes4,915ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryindustry life and physical and social scienceRank194Rating / score1,249.33Votes1,358ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryexclude tiesRank195Rating / score1,139.40Votes5,535ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryindustry mathematicalRank195Rating / score1,227.53Votes962ObservationsN/AResult dateOct 20, 2026
ArenatextCategorymathRank195Rating / score1,221.03Votes1,147ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryoverallRank195Rating / score1,237.05Votes8,662ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategorychineseRank195Rating / score1,278.30Votes675ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryexclude tiesRank195Rating / score1,213.52Votes5,535ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryindustry software and it servicesRank195Rating / score1,309.56Votes2,339ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryindustry writing and literature and languageRank196Rating / score1,227.69Votes2,350ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryoverallRank196Rating / score1,289.52Votes8,662ObservationsN/AResult dateOct 20, 2026
ArenatextCategorycreative writingRank197Rating / score1,211.53Votes1,379ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryhard prompts englishRank197Rating / score1,231.14Votes1,528ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryindustry software and it servicesRank197Rating / score1,236.54Votes2,339ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryinstruction followingRank197Rating / score1,212.53Votes3,266ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategorycodingRank197Rating / score1,311.91Votes1,440ObservationsN/AResult dateOct 20, 2026

Jamba 1.5 Large Pricing

Official vendor API pricing appears first, followed by individual provider offers.

Official API
N/A
Official provider
N/A
Lowest third-party
N/A
Tracked offerings
0
No provider prices

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.

Jamba 1.5 Large Runtime Performance

Provider-specific output speed and catalog latency for Jamba 1.5 Large. Runtime does not affect the capability score.

1 row
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Provider
Output Speed
Catalog Latency
Max Input
Max Output
Updated
ProviderGoogleOutput Speed42.00 tok/sCatalog Latency0.30 sMax Input256KMax Output256KUpdatedOct 23, 2026

Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.

Jamba 1.5 Large Specifications

Technical details for the model's default version.

Version
Jamba 1.5 Large
Released
Aug 22, 2024
Knowledge cutoff
Mar 5, 2024
Parameters
398B
Context window
256K
Max output
256K
Inputs
text
Outputs
text
Open weights
Yes
License
Jamba Open Model License

Jamba 1.5 Large Versions

Available versions of this model. The score column identifies the version used in the overall ranking.

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Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
VersionJamba 1.5 LargeReleasedAug 22, 2024LLMBoard0.00Parameters398BContext256KMax output256KOpen weightsYesLicenseJamba Open Model License

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Details

What is Jamba 1.5 Large?

Key information about Jamba 1.5 Large and its available data.

5 Large is an instruction-following foundation model from AI21 Labs that combines state space model (SSM) and Transformer architectures.

Data as of 2026-10-22.

FAQ

Common questions about Jamba 1.5 Large.

When was Jamba 1.5 Large released?

Jamba 1.5 Large's default version was released on Aug 22, 2024.

How much does Jamba 1.5 Large cost?

No official standard PAYG price is currently available for Jamba 1.5 Large.

Who created Jamba 1.5 Large?

Jamba 1.5 Large was created by AI21 Labs.

What is the context window for Jamba 1.5 Large?

The default version has a 256K token context window.

Is Jamba 1.5 Large open weight?

Yes. The default version is marked as open weight under Jamba Open Model License.

How many API providers offer Jamba 1.5 Large?

No provider offering is currently linked to the default version.