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Mistral Large 4 mistralai

Weights pending API only frontier listed on OpenRouter 2026-10-06 (19d ago) · source Last verified 2026-10-25 06:51 UTC Upcoming release on Hugging Face ↗ Docs ↗ OpenRouter ↗

The Hugging Face repo mistralai/Mistral-Large-4.0-1T05-A52B exists but is private: weights are expected, not yet public. Observed 2026-10-24 21:30 UTC.

Release timeline

Stages observed by the nightly radar: announced → API only → weights public → served by third parties. Each entry carries the source it was seen at.

  1. 2026-10-06 · API only source
    seeded from the earliest dated observation when first seen · observed 2026-10-07 20:20 UTC

Description

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...

via OpenRouter listing · observed 2026-10-24 21:26 UTC. The listing text is the provider's own description, not an assessment.

First look measured

A fixed probe set run against a live API endpoint: the same questions for every model, answers graded by code, nothing judged by a model. Latencies are single-request wall clock from one client location, not a benchmark.

via mistral mistral-large-4 5/5 probes pass first visible token 8.2 s end-to-end 84 tok/s (median of 3) $0.68 / $2.09 per M tokens (OpenRouter endpoint row)
ProbeResultLatencyReply (truncated)
Self-description info 5.3 s · thinks I am Mistral Large 4, created by Mistral AI. I don't know my exact training data cutoff date.
Tool call pass 2.0 s · thinks {"city": "Lisbon", "unit": "c"}
Strict JSON pass 4.7 s · thinks {"name": "Foo-9B-Instruct", "license": "Apache-2.0", "parameters_b": 9.2, "context_tokens": 131072, "languages": ["English", "French", "German", "Japanese"]}
Code (hidden tests) pass 10.6 s · thinks def is_balanced(s: str) -> bool: stack = [] pairs = {')': '(', ']': '[', '}': '{'} for c in s: if c in '([{': stack.append(c) elif c in ')]}': if not stack or stack.pop() != pairs[c]: return False return not stack
Multi-step arithmetic pass 20.3 s · thinks 16
Needle recall at 128k tokens pass 14.7 s · thinks amber-falcon-7731

Probe set firstlook.v1 · observed 2026-10-07 18:13 UTC · endpoint · provider docs · cost of this run $0.10

Where to run 2 providers · 4 endpoints

Hosted endpoints observed for Mistral Large 4, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting. Cheapest observed input price: $1.36/M.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
Mistral
openrouter
mistralai/mistral-large-4-0 1M unknown $1.36 $4.18 — — yes live 2026-10-24
Mistral
openrouter
mistralai/mistral-large-4-0 1M unknown $1.36 $4.18 — — yes live 2026-10-24
Mistral
openrouter
mistralai/mistral-large-4-0 512K unknown $1.50 $4.60 — — yes live 2026-10-24
Mistral (first-party)
mistral-api
mistral-large-4-0 1M — — — — — — live 2026-10-24

No third-party providers observed beyond the lab's own endpoints. Cache-read price $0.14/M (source, observed 2026-10-24).

Facts

Context length1,048,576 tokens (1M) · OpenRouter listing
Modalitiestext + image → text
Max completion tokens262,144
Lab API idsMistral: mistral-large-4-0
Supported parametersfrequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, reasoning_effort, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p
OpennessWeights pending · HF repo exists but is private
StageAPI only
Hugging Face repomistralai/Mistral-Large-4.0-1T05-A52B (private)
Confidencehigh
Pricing (USD per M tokens) in $1.36 · out $4.18 · cache read $0.14
OpenRouter list price (cheapest live endpoint) · source · observed 2026-10-24 21:26 UTC

Open alternatives 5

Nearest open-weights models by modality, context and price on this watch list. Not a quality ranking.

ModelOrgParamsContext$/M inLicenseWhy it is here
Kimi-K3 moonshotai 2.78T 1M $0.23 other similar context (1.05M), cheaper input price ($0.2261/M vs $1.36/M), vision input
MiniMax-M3 MiniMaxAI 427B 1M $0.22 other similar context (1.05M), cheaper input price ($0.224/M vs $1.36/M), vision input
Qwen3.5-4B Qwen 4.66B 256K — apache-2.0 vision input
DeepSeek-V4.1-Flash-1017 deepseek-ai 763B 1M $0.20 mit similar context (1.05M), cheaper input price ($0.2/M vs $1.36/M), vision input
Kimi-K2.6 moonshotai 1.03T 256K $0.45 other cheaper input price ($0.44935/M vs $1.36/M), vision input

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Sources

Radar run: 2026-10-25 06:51 UTC · Last verified 2026-10-25 06:51 UTC