Jamba 1.7 Large vs Mistral Medium 3.5
AI21 vs Mistral mid-tier — Mistral Medium 3.5 is 25% cheaper on input, while Jamba offers 2x the context window with its hybrid transformer-Mamba architecture.
Pricing data verified: Jun 10, 2026
| Specification | Jamba 1.7 Large | Mistral Medium 3.5 |
|---|---|---|
| Input Price (per 1M tokens) | $2.00 | $1.50 |
| Output Price (per 1M tokens) | $8.00 | $7.50 |
| Context Window | 256K tokens | 128K tokens |
| Tier | Mid | Mid |
| Provider | AI21 | Mistral |
| Input Savings | Baseline | 25% cheaper |
| Output Savings | Baseline | 6% cheaper |
| Cost at 1M input + 500K output | $6.00 | $5.25 |
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Which Model for Which Use Case?
Cost-Sensitive Workloads
Mistral Medium 3.5 is 25% cheaper on input and 6% cheaper on output — ideal for high-volume applications where cost per token matters. At $1.50/M input, it's one of the best value mid-tier models available.
Long-Context Processing
Jamba 1.7's 256K context window is 2x larger than Mistral Medium 3.5's 128K. For processing lengthy documents, maintaining large conversation histories, or handling complex RAG pipelines, Jamba gives you significantly more room.
Multilingual & Coding
Mistral Medium 3.5 excels at multilingual tasks and code generation. With strong support for European languages and excellent coding benchmarks, it's the go-to choice for international applications and developer tools.
Enterprise & Efficiency
Jamba 1.7 uses a hybrid transformer-Mamba architecture that's more efficient for long sequences. For enterprise workloads requiring long-context processing with predictable performance, Jamba's architecture offers advantages.
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Frequently Asked Questions
Is Mistral Medium 3.5 cheaper than Jamba 1.7 Large?
Yes. Mistral Medium 3.5 costs $1.50/M input and $7.50/M output. Jamba 1.7 Large costs $2.00/M input and $8.00/M output. Mistral is 25% cheaper on input and 6% cheaper on output. For a typical workload of 1M input + 500K output tokens/month, Mistral costs $5.25 vs Jamba's $6.00 — saving $0.75/month (13%).
Which has a larger context window, Jamba 1.7 or Mistral Medium 3.5?
Jamba 1.7 Large has a 256K token context window, which is 2x larger than Mistral Medium 3.5's 128K context. If you need to process longer documents or maintain larger conversation histories, Jamba offers more room. For most typical workloads under 128K tokens, both models are equally capable.
When should I choose Jamba 1.7 over Mistral Medium 3.5?
Choose Jamba 1.7 when: (1) you need a 256K context window, (2) you want AI21's enterprise-focused features, (3) you prefer Jamba's hybrid transformer-Mamba architecture for efficiency. Choose Mistral Medium 3.5 when: (1) cost is the priority (25% cheaper input), (2) you want Mistral's strong multilingual and coding capabilities, (3) you prefer a more widely adopted ecosystem.
Are Jamba 1.7 and Mistral Medium 3.5 good for production use?
Both are production-ready. Jamba 1.7 Large is AI21's latest model, featuring a hybrid transformer-Mamba architecture optimized for long-context efficiency and enterprise workloads. Mistral Medium 3.5 is Mistral's mid-tier model, offering strong multilingual support, coding capabilities, and instruction following. Both have enterprise-grade reliability and API access.