AI Model Profile
Mistral Medium 3.5
Mistral Medium 3.5 is listed by Mistral as a frontier-class multimodal model optimized for agentic and coding use cases.
Before you buy
Buying details reviewed 2026-10-23. Price, included amounts and access are dated observations; check the official source for current terms. This date does not review the whole fact ledger or renew historical demonstrations.
Best for: Candidate for Mistral teams evaluating multimodal, agentic, and coding workflows.
Price: USD API: US$1.5 input / US$7.5 output per 1M tokens
Included: Mistral Medium 3.5 is listed by Mistral as a frontier-class multimodal model optimized for agentic and coding use cases.
Main limits: This profile does not include independent benchmarks, exact pricing, or deployment guidance. Model-card USD token rates exclude other service and infrastructure charges.
What Kingy showed: Related coverage: Local AI Models: The Definitive Guide to Planning, Hardware, Setup, Installation, Model Selection, Testing, and Real-World Use. This review does not treat that article as a new test of this exact model, plan or current release.
Check official plans · See the demonstration and disclosure · Compare these workflows
- Family
- Mistral
- Release date
- Unknown
- Status
- Current
- Context window
- 256K tokens
- Output limit
- Unknown
- API
- yes
- Open weights
- yes
- Local/self-hosted
- yes
- Pricing
- Mistral Medium 3.5 API pricing checked 2026-07-28: $1.50 per million input tokens and $7.50 per million output tokens.
- Evidence state
- Recheck due
Benchmark Caveat
Provider documentation and provider-published capability notes are directional, not universal rankings. Real results depend on prompts, tools, latency targets, pricing tier, safety filters, context length, and workload mix.
Best for
Candidate for Mistral teams evaluating multimodal, agentic, and coding workflows.
Skip if
Skip if your team needs independently benchmarked performance claims or contractual guarantees not present in the official provider documentation.
Strengths
Official Mistral docs position it for agentic and coding use cases and mark it open.
Weaknesses
This profile does not include independent benchmarks, exact pricing, or deployment guidance.
Agent suitability
Candidate for agentic workflows based on official Mistral positioning.
Kingy AI take
Use this profile as a source-backed reference point, not a ranking. Re-check official provider docs before making production or budget decisions.
Kingy AI Product Facts
Mistral Medium 3.5
Current statusUnknown
- Company
- Not yet reviewed
- Primary job
- Not yet reviewed
- Audience
- Not yet reviewed
- Evidence
- Source-backed; coverage expanding
- Latest source check
- October 23, 2026
See all tracked product factsPricing, platforms, dependencies, data claims, regions, and timeline
Sources and checks
- Coverage
- 1 of 88 tracked fields currently verified
- Sources
- 1
Source-check dates apply to the tracked facts. Editorial updates elsewhere on this page may have a different date.
Plans and pricing units
Not yet structured in this Kingy record.
Where it runs
- Availability
- Not yet reviewed
Stack and integrations
- Model / provider dependencies
- Not yet reviewed
- Integrations
- Not yet reviewed
Data and regions
- Vendor data-use claim
- Not yet reviewed
- Vendor retention claim
- Not yet reviewed
- Regions
- Not yet reviewed
Launch and latest material update
- Launch
- Not yet reviewed
- Latest material update
- Not yet reviewed
Full Model Notes
Who should consider it
Candidate for Mistral teams evaluating multimodal, agentic, and coding workflows. Mistral Medium 3.5 is listed by Mistral as a frontier-class multimodal model optimized for agentic and coding use cases.
Plan, price and billing scope
USD API: US$1.5 input / US$7.5 output per 1M tokens. Mistral Medium 3.5 is listed by Mistral as a frontier-class multimodal model optimized for agentic and coding use cases. Prices use the currency and billing term stated here. Where a numeric rate, region or current entitlement could not be verified, it remains explicit; no checkout was completed.
Limits that affect the decision
This profile does not include independent benchmarks, exact pricing, or deployment guidance. Model-card USD token rates exclude other service and infrastructure charges.
What the existing evidence shows
Related coverage: Local AI Models: The Definitive Guide to Planning, Hardware, Setup, Installation, Model Selection, Testing, and Real-World Use. This review does not treat that article as a new test of this exact model, plan or current release. Related workflow reading; not a demonstration of this exact product. Read the related article.
Sources and buying-review date
Buying review completed October 23, 2026. This is a source-based buying assessment. No paid product test, new generation, checkout or performance benchmark was performed. Vendor descriptions and historical examples remain distinct from independently measured results. The date does not renew the broader canonical fact ledger.
- Official source: docs.mistral.ai
- Official source: legal.mistral.ai
- Official source: docs.mistral.ai
- Official source: legal.mistral.ai
- Official source: docs.mistral.ai
- Official source: docs.mistral.ai
- Related Kingy coverage
Check the official offer · Compare related options
Earlier profile, sources and dates
This older record retains its original scope. Current buying qualifications above take precedence where terms have changed.
Mistral Medium 3.5 is listed by Mistral as a frontier-class multimodal model optimized for agentic and coding use cases.
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Coding notes
Official docs position it for coding use cases.
Reasoning notes
Evaluate reasoning behavior through current Mistral docs and task tests.
Creative notes
Candidate for multimodal workflows in the Mistral ecosystem.
Research notes
Review context limits and model selection docs before long-context research use.
API pricing notes
Use exact ID mistral-medium-3-5. The official model card confirms 256K context but does not state a maximum output-token limit, so G2 remains blocked until the required 3K-output minimum is verified from an official interface or API response.
License notes
The official model card labels version 26.04 Modified MIT/open weights. Commercial API terms and the model license still govern the selected access path; do not represent AI output as human-authored.
Official Model Links
Model Intelligence Research Map
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