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AI21: Jamba Large 1.7

by AI21 Labs

7.3
Quality score / 10

Overview

Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context...

How AI21: Jamba Large 1.7 stacks up

Among the 368 chatbots & llms tools in our directory, it ranks #268 of 355 on quality (7.3/10), 8% below the 355-tool average of 8.0, and its $2/1M input-token rate is in the premium end — 27% pricier than the 345-model average of $1.58/1M.

Weighing quality against cost, AI21: Jamba Large 1.7's cost-per-quality-point of $0.27 places it at #280 of 327 for value among chatbots & llms tools.

AI21: Jamba Large 1.7 in depth

AI21: Jamba Large 1.7, built by AI21 Labs, sits in the chatbots & llms space and is a paid tool starting at $2.00/1M tokens. Our editors rate it 7.3 out of 10 based on capability, ecosystem and value. It handles a context window of 256,000 tokens.

On the feature side, AI21: Jamba Large 1.7 brings 256,000-token context window, tool / function calling and knowledge cutoff 2024-08-31. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.

Its biggest strength is supports tool / function calling for agent-style workflows, while the main trade-off to weigh is that above-average api pricing ($2 per 1m input tokens). Keep both in mind when deciding whether it fits your workflow.

AI21: Jamba Large 1.7 is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
Context window
256,000 tokens
Free tier
No
Updated
2026-08-15

Key features

  • 256,000-token context window
  • Tool / function calling
  • Knowledge cutoff 2024-08-31

Pricing

$2.00/1M tokens
Pay per token
Paid$2.00/1M tokens
API input
$2 / 1M tokens
API output
$8 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Supports tool / function calling for agent-style workflows

Cons

  • Above-average API pricing ($2 per 1M input tokens)
  • Text-only: does not accept image input

Who should use AI21: Jamba Large 1.7

  • Anyone looking for a chatbots & llms tool from AI21 Labs.
  • Teams and individuals focused on research and writing.
  • People who value supports tool / function calling for agent-style workflows.
  • Workflows that need a 256,000 tokens context window.

Who should look elsewhere

  • Anyone who needs a free tier — this tool is paid only.
  • Those for whom above-average api pricing ($2 per 1m input tokens) is a dealbreaker.
  • Users who can't accept that text-only: does not accept image input.

Best for

10 Best AI21: Jamba Large 1.7 Alternatives in 2026

AI21: Jamba Large 1.7 is a strong chatbots & llms tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to AI21: Jamba Large 1.7, ranked and compared.

1
ClaudeFree tier$20/mo

Anthropic

Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…

+ Best-in-class long-document reasoning+ Natural, high-quality writing+ Strong safety and reliability
Read full Claude review →
2
ChatGPTFree tier$20/mo

OpenAI

ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…

+ Most polished and widely supported ecosystem+ Excellent general reasoning and coding+ Huge third-party integration support
Read full ChatGPT review →
3
GeminiFree tier$20/mo

Google DeepMind

Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…

+ Massive context window+ Tight integration with Google ecosystem+ Generous free access
Read full Gemini review →
4

Google

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Google: Gemini 3.7 Flash (batch) review →
5
Meta: Muse Spark 1.2Paid$1.25/1M tokens

Meta

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Meta: Muse Spark 1.2 review →
6
Qwen: Qwen3.8 MaxPaid$2.00/1M tokens

Qwen

Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max…

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Qwen: Qwen3.8 Max review →
7
Qwen: Qwen3.7 FlashPaid$0.03/1M tokens

Qwen

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding…

+ Low API price — $0.03 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Qwen: Qwen3.7 Flash review →
8
Claude Opus 5 (Fast)Paid$10.00/1M tokens

Anthropic

Fast-mode variant of [Opus 5](/anthropic/claude-opus-5) - identical capabilities with higher output speed at 2x pricing…

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Claude Opus 5 (Fast) review →
9
Claude Opus 5 (batch)Paid$2.50/1M tokens

Anthropic

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work.

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Claude Opus 5 (batch) review →
10

Google

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development.

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Google: Gemini 3.6 Flash (batch) review →

AI21: Jamba Large 1.7 vs top alternatives

A side-by-side look at how AI21: Jamba Large 1.7 stacks up against its closest rivals.

FeatureAI21: Jamba Large 1.7AI21 LabsClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score7.3 / 109.6 / 109.5 / 109.2 / 10
Starting price$2.00/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$2 / 1M tokens$10 / 1M tokens$0.1 / 1M tokens$0.1875 / 1M tokens
API output price$8 / 1M tokens$50 / 1M tokens$0.6 / 1M tokens$0.9375 / 1M tokens
SpeedFastFastFast
Context window256,000 tokens200K tokens128K tokens1M-2M tokens
CategoriesChatbots & LLMsChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, Writing
Key features
  • 256,000-token context window
  • Tool / function calling
  • Knowledge cutoff 2024-08-31
  • Industry-leading long context (200K+ tokens)
  • Artifacts for live previews
  • Strong agentic coding (Claude Code)
  • Vision and document analysis
  • Multimodal text, image and voice input
  • Advanced data analysis (code interpreter)
  • Custom GPTs and GPT Store
  • Web browsing and real-time search
  • Up to 2M token context window
  • Deep Google Workspace integration
  • Native video and audio understanding
  • Real-time Google Search grounding
Pros
  • + Supports tool / function calling for agent-style workflows
  • + Best-in-class long-document reasoning
  • + Natural, high-quality writing
  • + Strong safety and reliability
  • + Most polished and widely supported ecosystem
  • + Excellent general reasoning and coding
  • + Huge third-party integration support
  • + Massive context window
  • + Tight integration with Google ecosystem
  • + Generous free access
Cons
  • Above-average API pricing ($2 per 1M input tokens)
  • Text-only: does not accept image input
  • No native image generation
  • Fewer consumer integrations than ChatGPT
  • Usage caps on the most capable models
  • Can be verbose and overly cautious
  • Quality can be inconsistent on edge cases
  • Privacy concerns for some users

Frequently asked questions

Q. Is AI21: Jamba Large 1.7 free?

No — AI21: Jamba Large 1.7 is a paid tool, starting at $2.00/1M tokens.

Q. How much does AI21: Jamba Large 1.7 cost?

AI21: Jamba Large 1.7 starts at $2.00/1M tokens. API usage is around $2 per 1M input tokens and $8 per 1M output tokens.

Q. What is AI21: Jamba Large 1.7 best for?

AI21: Jamba Large 1.7 is best suited to research and writing, within the chatbots & llms category.

Q. What are the best AI21: Jamba Large 1.7 alternatives?

Popular alternatives to AI21: Jamba Large 1.7 include Claude, ChatGPT, Gemini and Google: Gemini 3.7 Flash (batch). Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to AI21: Jamba Large 1.7?

Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.

Q. Why switch from AI21: Jamba Large 1.7?

Common reasons include pricing, specific feature gaps (Above-average API pricing ($2 per 1M input tokens); Text-only: does not accept image input), data-privacy requirements, or simply wanting a tool that fits your stack better.

How we rate AI tools

Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.

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