Jamba Instruct: Intelligence, Performance & Price Analysis
Analysis of AI21 Labs's Jamba Instruct and comparison to other AI models across key metrics including quality, price, performance (tokens per second & time to first token), context window & more. Click on any model to compare API providers for that model. For more details including relating to our methodology, see our FAQs.
Base version (Jamba v0.1) is open-source, but this instruct-tuned variant is API-only with no direct model release available
Comparison Summary
Intelligence:
Jamba Instruct is of lower quality compared to average, with a MMLU score of 0.343 and a Intelligence Index across evaluations of 26.
Price:Speed:Latency:Context Window:Jamba Instruct has a smaller context windows than average, with a context window of 260k tokens.
Highlights
Intelligence
Artificial Analysis Intelligence Index; Higher is better
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Speed
Output Tokens per Second; Higher is better
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Price
USD per 1M Tokens; Lower is better
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Parallel Queries:
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Jamba Instruct Model Details
Comparisons to Jamba Instruct
- Jamba Instruct
o3- GPT-4.1
- o4-mini (high)
- o3-pro
Llama 4 Maverick
Gemini 2.5 Pro- Gemini 2.5 Flash (Reasoning)
Claude 4 Sonnet Thinking- Claude 4 Opus Thinking
Magistral Small
DeepSeek R1 0528
Grok 4
Nova Premier
Solar Pro 2 (Reasoning)
MiniMax M1 80k
Llama Nemotron Super 49B v1.5 (Reasoning)
Kimi K2
EXAONE 4.0 32B (Reasoning)
GLM-4.5
Qwen3 235B 2507 (Reasoning)- GPT-4o (Nov '24)
Further details
R1 1776
Phi-4
Granite 3.3 Instruct 8B
Reka Flash 3
DeepHermes 3 - Llama-3.1 8B Preview
Aya Expanse 32B
OpenChat 3.5 (1210)
LFM 40B
DBRX Instruct
Llama 3.1 Tulu3 405B
Arctic Instruct
Yi-Large