Which is cheaper, Jamba 1.5 Mini or Mistral Small?
As of August 25, 2026, Jamba 1.5 Mini is 25% cheaper on blended LLM API pricing. Jamba 1.5 Mini costs $0.20 per million input tokens and $0.40 per million output tokens ($0.60 blended 1M-in + 1M-out). Mistral Small costs $0.20 / $0.60 per million tokens ($0.80 blended). Sources: https://anotherwrapper.com/tools/llm-pricing and https://docs.mistral.ai/platform/pricing/. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Jamba 1.5 Mini vs Mistral Small cost per million tokens?
Jamba 1.5 Mini AI21 Labs API pricing is $0.20 input and $0.40 output per million tokens via AI21 Labs. Mistral Small Mistral API pricing is $0.20 input and $0.60 output per million tokens via Mistral AI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Jamba 1.5 Mini or Mistral Small?
Jamba 1.5 Mini has a published HumanEval score of 62.8%. Mistral Small does not have that eval on this page yet.
What is the context window for Jamba 1.5 Mini vs Mistral Small?
Jamba 1.5 Mini supports a 256K token context window, while Mistral Small supports 33K tokens. Jamba 1.5 Mini offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Which model performs better on benchmarks, Jamba 1.5 Mini or Mistral Small?
Jamba 1.5 Mini leads on 1 of 1 shared benchmarks versus Mistral Small's 0 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Is Jamba 1.5 Mini or Mistral Small better for production use?
Both Jamba 1.5 Mini and Mistral Small are production API models. For cost-sensitive production traffic, Jamba 1.5 Mini has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Can I switch between Jamba 1.5 Mini and Mistral Small in my app?
Yes. Call Jamba 1.5 Mini through AI21 Labs and Mistral Small through Mistral AI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
How accurate is this Jamba 1.5 Mini vs Mistral Small pricing data?
List rates are the latest published AI21 Labs API pricing and Mistral API pricing, quoted per million tokens. Official rate sheets: https://anotherwrapper.com/tools/llm-pricing and https://docs.mistral.ai/platform/pricing/. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
What is the output token limit for Jamba 1.5 Mini and Mistral Small?
Jamba 1.5 Mini supports up to 256K output tokens per request, while Mistral Small supports up to 33K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Which model has better throughput, Jamba 1.5 Mini or Mistral Small?
Jamba 1.5 Mini runs at approximately 100 tokens/second while Mistral Small runs at 0.1 tokens/second. Jamba 1.5 Mini is faster in raw throughput. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
How do I switch the models in this Jamba 1.5 Mini vs Mistral Small comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Jamba 1.5 Mini or Mistral Small from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
