Neither wins outright: Mistral: Ministral 3 8B 2512 (batch) is the pick when cost matters at scale, Qwen: Qwen3 VL 30B A3B Instruct when you need log-probabilities.
| Spec | Mistral: Ministral 3 8B 2512 (batch) | Qwen: Qwen3 VL 30B A3B Instruct |
|---|---|---|
| Provider | Mistral AI | Qwen |
| Input price (per 1M tokens) | $0.07 | $0.15 |
| Output price (per 1M tokens) | $0.07 | $0.60 |
| Blended price (3:1 input/output) | $0.07 | $0.26 |
| Cheaper than … of all models we track | 84% | 64% |
| Context window | 262K tokens (~393 pages) | 262K tokens (~393 pages) |
| Larger context than … of all models | 48% | 48% |
| Max output per response | 210K tokens (~157,300 words) | 16K tokens (~12,300 words) |
| Input types | text, image | text, image |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2025-12-02 | 2025-10-06 |
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) | Mistral: Ministral 3 8B 2512 (batch) | Qwen: Qwen3 VL 30B A3B Instruct | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $7.13 | $23.25 | Mistral: Ministral 3 8B 2512 (batch) saves $16.13 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $9.75 | $24.00 | Mistral: Ministral 3 8B 2512 (batch) saves $14.25 |
| 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) | $9.90 | $25.20 | Mistral: Ministral 3 8B 2512 (batch) saves $15.30 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $6.45 | $15.60 | Mistral: Ministral 3 8B 2512 (batch) saves $9.15 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $3.82 | $8.10 | Mistral: Ministral 3 8B 2512 (batch) saves $4.28 |
| Capability | Mistral: Ministral 3 8B 2512 (batch) | Qwen: Qwen3 VL 30B A3B Instruct | 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 | ✓ 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 | ✓ Yes | repeat a generation for tests and evals |
| Log-probabilities | — | ✓ Yes | 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 |
|---|---|---|---|
| 2026-09-25 | Qwen: Qwen3 VL 30B A3B Instruct | $0.15 | $0.60 |
| 2026-09-20 | Qwen: Qwen3 VL 30B A3B Instruct | $0.13 | $0.52 |
| 2026-09-19 | Qwen: Qwen3 VL 30B A3B Instruct | $0.20 | $0.70 |
| 2026-09-17 | Qwen: Qwen3 VL 30B A3B Instruct | $0.13 | $0.52 |
| 2026-09-10 | Mistral: Ministral 3 8B 2512 (batch) | $0.07 | $0.07 |
| 2026-08-29 | Qwen: Qwen3 VL 30B A3B Instruct | $0.15 | $0.60 |
| 2026-08-14 | Qwen: Qwen3 VL 30B A3B Instruct | $0.13 | $0.52 |
| 2026-08-06 | Qwen: Qwen3 VL 30B A3B Instruct | $0.15 | $0.60 |
Neither wins outright: Mistral: Ministral 3 8B 2512 (batch) is the pick when cost matters at scale, Qwen: Qwen3 VL 30B A3B Instruct when you need log-probabilities. In short: Mistral: Ministral 3 8B 2512 (batch) when cost matters at scale, you generate long outputs in one go; Qwen: Qwen3 VL 30B A3B Instruct when you need log-probabilities.
Mistral: Ministral 3 8B 2512 (batch) is cheaper: $0.07 vs $0.26 per 1M tokens at a typical 3:1 input/output mix, 71% less. For 50,000 support conversations a month that is $7.13 against $23.25.
Mistral: Ministral 3 8B 2512 (batch) costs $0.07 per 1M input tokens and $0.07 per 1M output tokens; Qwen: Qwen3 VL 30B A3B Instruct costs $0.15 input and $0.60 output. Output tokens are billed separately, so long answers shift the gap.
Both take 262K tokens per request — roughly 393 pages of text.
Tool calling — Mistral: Ministral 3 8B 2512 (batch): yes, Qwen: Qwen3 VL 30B A3B Instruct: yes. JSON-schema structured output — Mistral: Ministral 3 8B 2512 (batch): yes, Qwen: Qwen3 VL 30B A3B Instruct: yes.
Yes, both accept image input.
No free variant is listed for either; both are pay-per-token.
Mistral: Ministral 3 8B 2512 (batch) can write up to 210K tokens (about 157,300 words) per response; Qwen: Qwen3 VL 30B A3B Instruct up to 16K (about 12,300 words).
Mistral: Ministral 3 8B 2512 (batch) was listed on 2025-12-02; Qwen: Qwen3 VL 30B A3B Instruct on 2025-10-06.
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. Qwen: Qwen3 VL 30B A3B Instruct: input price raised 13% ($0.13 → $0.15/1M), output price raised 13% ($0.52 → $0.60/1M) on 2026-09-25 (7 price changes since 2026-03-10).
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 →Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception...
Full Qwen: Qwen3 VL 30B A3B Instruct specs →