MistralaiReasoningReleased 6 October 2026
Mistral Large 4 pricing, context and benchmark
Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.
1.05M
Input context
262K
Output context
$0.7
Official input
$2.1
Official output
26
AA index
01 · Model Overview
Everything that matters, in one table
Context, pricing, cache, modalities and tooling, from the model registry and Artificial Analysis.
| Model | Mistral Large 4 |
| Model ID | mistralai/mistral-large-4-0 |
| Provider | Mistralai |
| Release date | 6 October 2026 |
| Status | Generally available |
| Input context | 1,048,576 tokens |
| Output context | 262,144 tokens |
| Official input pricing | $0.7 per 1M tokens |
| Official output pricing | $2.1 per 1M tokens |
| Cache read pricing | $0.07 per 1M tokens (90% off input) |
| Market input pricing | $0.7 per 1M (cheapest route) |
| Market output pricing | $2.1 per 1M (cheapest route) |
| Highest route pricing | $0.77 in, $2.31 out per 1M |
| Input modalities | text · image |
| Output modalities | text |
| Reasoning control | Not exposed |
| Tool support | Text generation only |
| Tokenizer | Mistral |
| Provider routes | 2 endpoints |
| Artificial Analysis index | 26 (#11 of 26) |
| Speed | 108 tokens/s, 32.39s to first token |
| Knowledge cutoff | Not publicly stated |
Input and output support
| Modality | Input | Output | Billed at |
|---|---|---|---|
| Text | ✓ yes | ✓ yes | $0.7 in |
| Image | ✓ yes | no | $0.7 in |
| Audio | no | no | not supported |
| Video | no | no | not supported |
| File (PDF) | no | no | not supported |
02 · Overview
What is Mistral Large 4?
Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.
It offers a 1M-token context window with up...
Mistral Large 4 carries a 1.05M token window, uses the Mistral tokenizer and is served by Mistralai. On Hoodgen it sits in the Reasoning tier of the model menu next to its siblings, so you can switch mid conversation without losing the thread.
03 · Release
Release and what changed from the previous version
Released6 October 2026
| Property | Mistral Medium 3.5 | Mistral Large 4 | Change |
|---|---|---|---|
| Released | 2026 | Oct 2026 | Newer release |
| Context | 262K | 1.05M | Changed |
| Max output | 210K | 262K | Changed |
| Input price | $1.5 | $0.7 | Cheaper |
| Output price | $7.5 | $2.1 | Cheaper |
| Input modalities | text, image, file | text, image | Unchanged |
| AA index | 5 | 26 | Newer benchmark run |
04 · Capabilities
Features and capabilities
◉
Vision
Screenshots, charts and photographed documents are read at the text token rate.
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Prompt caching
Cached input costs $0.07 per million instead of $0.7, so stable prefixes get cheaper.
06 · Benchmarks
Benchmark results and performance
Artificial Analysis Intelligence Index v5.0.1 blends nine evaluations. Mistral Large 4 scores 26 , ranking #11 of 26.
Intelligence index
26
#11 of 26
Cost per task
$2.06
weighted average per index task
Time per task
12.6m
inference time
Output speed
108
tokens per second
Index score and cost per task
Scale: index 0 to 70, cost 0 to $20. Sub scores are not published per evaluation, so none are invented here.
07 · Use cases
What can you do with Mistral Large 4?
Debugging and root cause
Multi file failures where the model has to hold a causal chain before answering.
Architecture and planning
Design docs, migration plans and trade off analysis over long context.
Data analysis
Spreadsheets and logs read in one pass, then summarised with the numbers quoted back.
Agentic coding
Repo wide changes that need plan, edit and verify loops.
08 · Cost levers
Prompt caching and how to cut the bill
Cached input bills at $0.07 per million instead of $0.7, a 90% discount. Keep the system prompt and documents first and the changing question last, so every call hits the cache.
09 · Pricing
Mistral Large 4 pricing
Official pricing
List price
$0.7 / 1M in
$2.1 / 1M out
- $0.07 cached input
- 1.05M context
- text, image input
Cheapest route
$0.7 / 1M in
$2.1 / 1M out
- 2 routes on OpenRouter
- What Hoodgen routes to first
- Same model, lower bill
Highest route
$0.77 / 1M in
$2.31 / 1M out
- Priority or premium tier
- Best under load
- Use for latency critical calls
Market pricing, every route
| Provider | Tier | Input | Output | Cache read | Uptime 24h |
|---|---|---|---|---|---|
| Mistral | standard | $0.7 | $2.1 | $0.07 | 99.4% |
| Mistral | standard | $0.77 | $2.31 | $0.077 | 99.3% |
API pricing and cost calculator
| Rate | Per call | Total | Credits |
|---|---|---|---|
| Cheapest route | $0.0096 | $4.79 | 4556 |
| List price | $0.0096 | $4.80 | 4556 |
| Highest route | $0.0189 | $9.43 | 8961 |
10 · Developers
API and developer information
| Model ID | mistralai/mistral-large-4-0 |
| Endpoint | https://openrouter.ai/api/v1/chat/completions |
| Parameters | prompt and max_tokens |
| Streaming | Yes, server sent events |
| Modality string | text+image->text |
| Max prompt tokens | 1,048,576 |
| Max completion tokens | 262,144 |
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistralai/mistral-large-4-0",
"messages": [{ "role": "user", "content": "Summarise this document." }],
"max_tokens": 1024
}'11 · Limitations
Model limitations
| Text only output | It cannot generate images, audio or video. Pair it with an image model on Hoodgen when you need visuals. |
| Output cap | 262,144 tokens per request. Long deliverables have to be chunked. |
| Knowledge cutoff | The provider does not state a fixed cutoff for every release. Verify very recent events against search. |
12 · Comparison
Mistral Large 4 vs other Mistralai models
| Model | Context | Input /1M | Output /1M | AA index | Released |
|---|---|---|---|---|---|
| Mistral Large 4 | 1.05M | $0.7 | $2.1 | 26 | Oct 2026 |
| Mistral Medium 3.5 | 262K | $1.5 | $7.5 | 5 | 2026 |
| Ministral 3 14B 2512 | 262K | $0.2 | $0.2 | n/a | 2025 |
| Mistral Small 4 | 262K | $0.15 | $0.6 | 4 | 2026 |
13 · Privacy
Privacy and data policy
- On Hoodgen, prompts and attachments answer that request and stay in your conversation history so you can reopen it. They are not used to train models.
- Requests route through OpenRouter to Mistralai and are covered by that provider's API terms.
- Do not paste secrets or personal data you would not send to any hosted model.
14 · FAQ
Mistral Large 4 questions, answered
Mistral Large 4 is a reasoning model from Mistralai, released 6 October 2026. Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.
✦
Start chatting with Mistral Large 4
Free to try on Hoodgen AI, with a live credit estimate before every send. No API key, no setup.