Choose AI21: Jamba Large 1.7 if…
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
Mistral: Ministral 3 8B 2512 (batch) comes out ahead on the data we track: 5 advantages and none for AI21: Jamba Large 1.7.
| Spec | AI21: Jamba Large 1.7 | Mistral: Ministral 3 8B 2512 (batch) |
|---|---|---|
| Provider | AI21 | Mistral AI |
| Input price (per 1M tokens) | $2.00 | $0.07 |
| Output price (per 1M tokens) | $8.00 | $0.07 |
| Blended price (3:1 input/output) | $3.50 | $0.07 |
| Cheaper than … of all models we track | 18% | 84% |
| Context window | 256K tokens (~384 pages) | 262K tokens (~393 pages) |
| Larger context than … of all models | 45% | 48% |
| Max output per response | 4K tokens (~3,100 words) | 210K tokens (~157,300 words) |
| Input types | text | text, image |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2025-08-08 | 2025-12-02 |
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
| Workload (per month) | AI21: Jamba Large 1.7 | Mistral: Ministral 3 8B 2512 (batch) | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $310 | $7.13 | Mistral: Ministral 3 8B 2512 (batch) saves $303 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $320 | $9.75 | Mistral: Ministral 3 8B 2512 (batch) saves $310 |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens) | $336 | $9.90 | Mistral: Ministral 3 8B 2512 (batch) saves $326 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $208 | $6.45 | Mistral: Ministral 3 8B 2512 (batch) saves $202 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $108 | $3.82 | Mistral: Ministral 3 8B 2512 (batch) saves $104 |
| Capability | AI21: Jamba Large 1.7 | Mistral: Ministral 3 8B 2512 (batch) | What it lets you do |
|---|---|---|---|
| Tool / function calling | ✓ Yes | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | — | — | spend extra tokens thinking before answering hard problems |
| Image input | — | ✓ Yes | read screenshots, charts and scanned pages |
| Audio input | — | — | take speech or audio directly |
| File / PDF input | — | — | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | — | — | answer from live web results |
| Seed (reproducible sampling) | — | ✓ Yes | repeat a generation for tests and evals |
| Log-probabilities | — | — | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
| Date | Model | Input / 1M | Output / 1M |
|---|---|---|---|
| 2026-09-10 | Mistral: Ministral 3 8B 2512 (batch) | $0.07 | $0.07 |
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
Mistral: Ministral 3 8B 2512 (batch) comes out ahead on the data we track: 5 advantages and none for AI21: Jamba Large 1.7.
Mistral: Ministral 3 8B 2512 (batch) is cheaper: $0.07 vs $3.50 per 1M tokens at a typical 3:1 input/output mix, 98% less. For 50,000 support conversations a month that is $7.13 against $310.
AI21: Jamba Large 1.7 costs $2.00 per 1M input tokens and $8.00 per 1M output tokens; Mistral: Ministral 3 8B 2512 (batch) costs $0.07 input and $0.07 output. Output tokens are billed separately, so long answers shift the gap.
Mistral: Ministral 3 8B 2512 (batch): 262K tokens, about 393 pages, against 256K (about 384 pages) for AI21: Jamba Large 1.7.
Tool calling — AI21: Jamba Large 1.7: yes, Mistral: Ministral 3 8B 2512 (batch): yes. JSON-schema structured output — AI21: Jamba Large 1.7: yes, Mistral: Ministral 3 8B 2512 (batch): yes.
Only Mistral: Ministral 3 8B 2512 (batch) accepts image input; AI21: Jamba Large 1.7 is text-only for input.
No free variant is listed for either; both are pay-per-token.
AI21: Jamba Large 1.7 can write up to 4K tokens (about 3,100 words) per response; Mistral: Ministral 3 8B 2512 (batch) up to 210K (about 157,300 words).
AI21: Jamba Large 1.7 was listed on 2025-08-08; Mistral: Ministral 3 8B 2512 (batch) on 2025-12-02.
AI21: Jamba Large 1.7: price unchanged since we started tracking it on 2026-03-10. Mistral: Ministral 3 8B 2512 (batch): input price cut 50% ($0.15 → $0.07/1M), output price cut 50% ($0.15 → $0.07/1M) on 2026-09-10.
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...
Full AI21: Jamba Large 1.7 specs →A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
Full Mistral: Ministral 3 8B 2512 (batch) specs →