AI21 Labs vs Anthropic: Token Pricing, Speed & Intelligence
Full comparison of AI21 Labs and Anthropic — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
AI21 Labs
Jamba 1.6 — hybrid SSM-Transformer models with 256K context
AI21 Labs develops the Jamba model family, which uses a hybrid SSM (Mamba) and Transformer architecture. Jamba 1.6 Large and Mini offer 256K token context windows at competitive prices. The hybrid architecture delivers faster inference and lower memory usage than pure-Transformer models of comparable size.
Anthropic
Claude 5 — Fable 5.1, Opus 5, Sonnet 5, Haiku 4.5 with 1M context
Anthropic builds the Claude model family, now in its fifth generation. The Claude 5 lineup includes Fable 5.1 and Opus 5 at the frontier (1M+ token context, reasoning models), Claude Sonnet 5 for production workloads, and Haiku 4.5 for cost-efficient inference. Anthropic also offers Claude Code (agentic coding) and Claude Science (research) as specialised products. Prompt caching is available at up to 90% discount.
Key metric comparison
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Live token pricing
Strengths and weaknesses
AI21 Labs
Anthropic
Key differentiators
Jamba's hybrid SSM-Transformer architecture enables 256K context at lower memory and latency cost than pure-Transformer models — with Jamba 1.6 Mini among the cheapest 256K-context options available.
Claude 5 Opus and Fable 5 lead the BenchLM leaderboard as of September 2026, with 1M+ context windows and extended reasoning — plus Claude Code for agentic software engineering.
Frequently asked questions
AI21 Labs FAQs
What is the Jamba architecture?
Jamba uses a hybrid of Mamba (SSM) and Transformer layers. This reduces memory usage and improves throughput on long sequences compared to pure-Transformer models, while maintaining strong reasoning performance.
How much does AI21 Labs API cost?
Jamba 1.6 Large is $2.00/$8.00 per 1M input/output tokens. Jamba 1.6 Mini is $0.20/$0.40 per 1M tokens. Both support 256K context. See ai21.com/pricing for current rates.
What context window does Jamba 1.6 support?
Both Jamba 1.6 Large and Jamba 1.6 Mini support 256K token context windows, making them suitable for long-document analysis and extended conversations.
Anthropic FAQs
What are the latest Anthropic Claude models?
The Claude 5 family includes Fable 5.1 and Opus 5 (frontier reasoning), Claude Sonnet 5 (balanced), and Haiku 4.5 (efficient tier). Claude Code is a specialised agentic coding product. Check docs.anthropic.com/en/docs/about-claude/models for current pricing.
What is the context window for Claude 5 models?
Claude 5 Opus, Fable 5, and Mythos 5 all support 1M+ token context windows, enabling full-codebase and book-length document analysis in a single call.
How does Anthropic prompt caching work?
Anthropic's prompt caching lets you mark portions of your prompt (system prompts, documents, tool definitions) to be cached server-side. Cached tokens are billed at 10% of the standard input price after the first write, making repeated long-context calls dramatically cheaper.
Provider resources
AI21 Labs — Jamba 1.6 — hybrid SSM-Transformer models with 256K context
AI21 Labs develops the Jamba model family, which uses a hybrid SSM (Mamba) and Transformer architecture. Jamba 1.6 Large and Mini offer 256K token context windows at competitive prices. The hybrid architecture delivers faster inference and lower memory usage than pure-Transformer models of comparable size.
Jamba's hybrid SSM-Transformer architecture enables 256K context at lower memory and latency cost than pure-Transformer models — with Jamba 1.6 Mini among the cheapest 256K-context options available.
Anthropic — Claude 5 — Fable 5.1, Opus 5, Sonnet 5, Haiku 4.5 with 1M context
Anthropic builds the Claude model family, now in its fifth generation. The Claude 5 lineup includes Fable 5.1 and Opus 5 at the frontier (1M+ token context, reasoning models), Claude Sonnet 5 for production workloads, and Haiku 4.5 for cost-efficient inference. Anthropic also offers Claude Code (agentic coding) and Claude Science (research) as specialised products. Prompt caching is available at up to 90% discount.
Claude 5 Opus and Fable 5 lead the BenchLM leaderboard as of September 2026, with 1M+ context windows and extended reasoning — plus Claude Code for agentic software engineering.
Key strengths compared
AI21 Labs
- Hybrid SSM-Transformer architecture delivers faster inference than pure-Transformer models
- 256K token context window on both Jamba 1.6 Large and Mini
- Jamba 1.6 Mini at $0.20/$0.40 per 1M tokens is highly cost-competitive
- Smaller model family than frontier labs — two models vs dozens at OpenAI or Anthropic
- Less ecosystem support than OpenAI-compatible providers
Anthropic
- Claude 5 family leads on coding and reasoning benchmarks
- 1M+ token context window on Claude 5 models
- Aggressive prompt caching — up to 90% discount
- No open-weight models — full vendor lock-in
- Frontier models are among the higher-priced options — check live table for current rates
Key weaknesses compared
AI21 Labs
- Smaller model family than frontier labs — two models vs dozens at OpenAI or Anthropic
- Less ecosystem support than OpenAI-compatible providers
- No image, audio, or multimodal models
Anthropic
- No open-weight models — full vendor lock-in
- Frontier models are among the higher-priced options — check live table for current rates
- No native image generation capability
Provider category context
AI21 Labs is a frontier lab, founded in 2017. Anthropic is a frontier lab, founded in 2021. Both are frontier lab providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.
How to choose between them
Both AI21 Labs and Anthropic are frontier labs with proprietary models. Choose based on benchmark performance for your specific task: AI21 Labs leads on hybrid ssm-transformer architecture delivers faster inference than pure-transformer models, while Anthropic leads on claude 5 family leads on coding and reasoning benchmarks. For cost-sensitive workloads, compare the cheapest model tier from each provider in the pricing table above — the gap between efficient-tier models is often larger than between flagship models.