AI21 Labs
Released July 7, 2025Cutoff August 2024

Jamba Large 1.7

Jamba Large 1.7 by AI21 Labs is a hybrid SSM-Transformer model with 256K context, grounding, strong instruction-following, and open-model licensing.

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Model Overview

Capabilities, design details, and architectural traits

Jamba Large 1.7 - Hybrid long-context model

Jamba Large 1.7 is AI21’s open model for enterprise workflows that need long context, grounding, and stronger instruction following. The official materials describe it as a Jamba-family update built on a hybrid SSM-Transformer architecture with 256K context.

Core Design

The model card identifies Jamba Large 1.7 as a 94B active / 398B total parameter model. It is documented as an open model from AI21 with support for English, Spanish, French, Portuguese, Italian, Dutch, German, Arabic, and Hebrew. The official materials also note that it builds on earlier Jamba efficiency gains.

Benchmark Performance

Independent evaluations · Artificial Analysis

6.1%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science39.0%
Humanity's Last Exam3.7%
SciCode - Scientific Coding18.8%
Instruction Following35.2%
Long Context Reasoning19.3%
τ²-Bench - Agentic Tasks13.5%
TerminalBench - System Control2.3%

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Model Details
General Info
ProviderAI21 LabsAnthropicAnthropic
Release DateJuly 7, 2025September 22, 2026September 28, 2026
Knowledge CutoffAug 2024-Jun 2026
Context & Limits
Context Window256K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$2
Best Input Pricing
$4
$2
Best Input Pricing
Output Pricing
$8
Best Output Pricing
$20$10
Modalities
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Outputs
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Benchmarks (0-100)
Intelligence Index6.1
57.6
Best Intelligence Index
56.0
Coding Index---
Agentic Index---
Jamba Large 1.7
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

4%
Jamba Large 1.7
Humanity's Last Exam
Score: 4%
Jamba Large 1.7
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

19%
Jamba Large 1.7
Long Context Reasoning
Score: 19%
Jamba Large 1.7
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

19%
Jamba Large 1.7
SciCode Benchmark
Score: 19%
Jamba Large 1.7
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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