AI21 Labs vs OpenAI: Token Pricing, Speed & Intelligence
Full comparison of AI21 Labs and OpenAI — 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.
OpenAI
GPT-6 Astra, GPT-5.6 Sol/Terra/Luna — plus image, voice, and realtime APIs
OpenAI's September 2026 API lineup spans GPT-6 Astra (flagship frontier), GPT-5.6 Sol (promotional), GPT-5.6 Terra (balanced), and GPT-5.6 Luna (everyday). Beyond text, the platform includes GPT-Image-2.5 (Sunburst and Flare), GPT-Live-1 voice, GPT-Realtime-2.1 for low-latency voice agents, and transcription/translation models. Batch API saves 50% on all models. Check the live table for current per-token rates.
Key metric comparison
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Live token pricing
Strengths and weaknesses
AI21 Labs
OpenAI
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.
A broad AI API platform — GPT-6 Astra to GPT-5.6 Luna covering multiple capability tiers, plus native image, voice, realtime, and transcription APIs under one key.
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.
OpenAI FAQs
What are the latest OpenAI models as of 2026?
OpenAI's current lineup includes GPT-6 Astra (flagship frontier), GPT-5.6 Sol (promotional), GPT-5.6 Terra (balanced), and GPT-5.6 Luna (everyday). The o-series reasoning models remain available for complex multi-step tasks. Check the live table or platform.openai.com/docs/pricing for current rates.
How much does the OpenAI API cost?
OpenAI uses tiered per-token pricing across its model lineup. The Batch API cuts all prices by 50% for async workloads, and prompt caching reduces input costs by 50% on eligible requests. Check platform.openai.com/docs/pricing for current rates.
Does OpenAI support prompt caching?
Yes. Prompt caching is available on GPT-6 Astra, GPT-5.6 Sol, and other major models. Cached input tokens are billed at 50% of the standard input price, making long-context and repeated-system-prompt workloads significantly 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.
OpenAI — GPT-6 Astra, GPT-5.6 Sol/Terra/Luna — plus image, voice, and realtime APIs
OpenAI's September 2026 API lineup spans GPT-6 Astra (flagship frontier), GPT-5.6 Sol (promotional), GPT-5.6 Terra (balanced), and GPT-5.6 Luna (everyday). Beyond text, the platform includes GPT-Image-2.5 (Sunburst and Flare), GPT-Live-1 voice, GPT-Realtime-2.1 for low-latency voice agents, and transcription/translation models. Batch API saves 50% on all models. Check the live table for current per-token rates.
A broad AI API platform — GPT-6 Astra to GPT-5.6 Luna covering multiple capability tiers, plus native image, voice, realtime, and transcription APIs under one key.
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
OpenAI
- Wide API surface: text, image, voice, realtime, transcription, translation, web search, code execution
- GPT-6 Astra at the frontier; GPT-5.6 Sol at promotional pricing
- Prompt caching on all major models (10% of input price)
- No open-weight models — full vendor lock-in
- GPT-6 Astra output pricing is among the highest for frontier tier — check live table
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
OpenAI
- No open-weight models — full vendor lock-in
- GPT-6 Astra output pricing is among the highest for frontier tier — check live table
- Rate limits can be restrictive on lower tiers
Provider category context
AI21 Labs is a frontier lab, founded in 2017. OpenAI is a frontier lab, founded in 2015. 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 OpenAI 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 OpenAI leads on wide api surface: text, image, voice, realtime, transcription, translation, web search, code execution. 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.