Choose Inception: Mercury 2.5 if…
- cost matters at scale — it is 49% cheaper on a typical 3:1 input/output mix ($6.00 vs $11.63 a month for 50,000 support chats)
- you want the newer model — released 2026-09-08, 6 months after the other
Inception: Mercury 2.5 vs Mistral: Mistral Small 4 (batch)
Neither wins outright: Inception: Mercury 2.5 is the pick when cost matters at scale, Mistral: Mistral Small 4 (batch) when you need image input.
Key numbers
| Spec | Inception: Mercury 2.5 | Mistral: Mistral Small 4 (batch) |
|---|---|---|
| Provider | Inception | Mistral AI |
| Input price (per 1M tokens) | $0.04 | $0.07 |
| Output price (per 1M tokens) | $0.15 | $0.30 |
| Blended price (3:1 input/output) | $0.07 | $0.13 |
| Cheaper than … of all models we track | 85% | 76% |
| Context window | 260K tokens (~390 pages) | 262K tokens (~393 pages) |
| Larger context than … of all models | 46% | 47% |
| Max output per response | 66K tokens (~49,200 words) | 210K tokens (~157,300 words) |
| Input types | text | text, image |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2026-09-08 | 2026-03-16 |
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What it costs for real workloads
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) | Inception: Mercury 2.5 | Mistral: Mistral Small 4 (batch) | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $6.00 | $11.63 | Inception: Mercury 2.5 saves $5.63 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $6.30 | $12.00 | Inception: Mercury 2.5 saves $5.70 |
| 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) | $6.60 | $12.60 | Inception: Mercury 2.5 saves $6.00 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $4.10 | $7.80 | Inception: Mercury 2.5 saves $3.70 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $2.15 | $4.05 | Inception: Mercury 2.5 saves $1.90 |
Capabilities side by side
| Capability | Inception: Mercury 2.5 | Mistral: Mistral Small 4 (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 | ✓ Yes | ✓ Yes | 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.
Price history
- Inception: Mercury 2.5: price unchanged since we started tracking it on 2026-09-09.
- Mistral: Mistral Small 4 (batch): input price cut 50% ($0.15 → $0.07/1M), output price cut 50% ($0.60 → $0.30/1M) on 2026-09-10.
| Date | Model | Input / 1M | Output / 1M |
|---|---|---|---|
| 2026-09-10 | Mistral: Mistral Small 4 (batch) | $0.07 | $0.30 |
Which should you choose?
Choose Mistral: Mistral Small 4 (batch) if…
- you need image input — to read screenshots, charts and scanned pages; Inception: Mercury 2.5 does not advertise it
- you need seed (reproducible sampling) — to repeat a generation for tests and evals; Inception: Mercury 2.5 does not advertise it
- you generate long outputs in one go — up to 210K tokens (about 157,300 words) per response
Frequently asked questions
Is Inception: Mercury 2.5 better than Mistral: Mistral Small 4 (batch)?
Neither wins outright: Inception: Mercury 2.5 is the pick when cost matters at scale, Mistral: Mistral Small 4 (batch) when you need image input. In short: Inception: Mercury 2.5 when cost matters at scale, you want the newer model; Mistral: Mistral Small 4 (batch) when you need image input, you need seed (reproducible sampling), you generate long outputs in one go.
Which is cheaper, Inception: Mercury 2.5 or Mistral: Mistral Small 4 (batch)?
Inception: Mercury 2.5 is cheaper: $0.07 vs $0.13 per 1M tokens at a typical 3:1 input/output mix, 49% less. For 50,000 support conversations a month that is $6.00 against $11.63.
How much do Inception: Mercury 2.5 and Mistral: Mistral Small 4 (batch) cost per million tokens?
Inception: Mercury 2.5 costs $0.04 per 1M input tokens and $0.15 per 1M output tokens; Mistral: Mistral Small 4 (batch) costs $0.07 input and $0.30 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, Inception: Mercury 2.5 or Mistral: Mistral Small 4 (batch)?
Mistral: Mistral Small 4 (batch): 262K tokens, about 393 pages, against 260K (about 390 pages) for Inception: Mercury 2.5.
Do Inception: Mercury 2.5 and Mistral: Mistral Small 4 (batch) support function calling and JSON output?
Tool calling — Inception: Mercury 2.5: yes, Mistral: Mistral Small 4 (batch): yes. JSON-schema structured output — Inception: Mercury 2.5: yes, Mistral: Mistral Small 4 (batch): yes.
Can Inception: Mercury 2.5 or Mistral: Mistral Small 4 (batch) read images?
Only Mistral: Mistral Small 4 (batch) accepts image input; Inception: Mercury 2.5 is text-only for input.
Is Inception: Mercury 2.5 or Mistral: Mistral Small 4 (batch) free to use?
No free variant is listed for either; both are pay-per-token.
What is the maximum output length of Inception: Mercury 2.5 and Mistral: Mistral Small 4 (batch)?
Inception: Mercury 2.5 can write up to 66K tokens (about 49,200 words) per response; Mistral: Mistral Small 4 (batch) up to 210K (about 157,300 words).
When were Inception: Mercury 2.5 and Mistral: Mistral Small 4 (batch) released?
Inception: Mercury 2.5 was listed on 2026-09-08; Mistral: Mistral Small 4 (batch) on 2026-03-16.
Has the price of Inception: Mercury 2.5 or Mistral: Mistral Small 4 (batch) changed?
Inception: Mercury 2.5: price unchanged since we started tracking it on 2026-09-09. Mistral: Mistral Small 4 (batch): input price cut 50% ($0.15 → $0.07/1M), output price cut 50% ($0.60 → $0.30/1M) on 2026-09-10.
About the two models
Inception: Mercury 2.5
Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving...
Full Inception: Mercury 2.5 specs →Mistral: Mistral Small 4 (batch)
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...
Full Mistral: Mistral Small 4 (batch) specs →