A capable and fairly priced multimodal flagship, best suited for Mistral ecosystem users and European compliance requirements.
78
Coding
76
Writing
75
Research
72
Images
62
Value
60
Long Context
Use this when
Teams needing a capable European-hosted multimodal model for document analysis, visual QA, and code generation with image context.
Skip this if
You need state-of-the-art visual reasoning for complex medical imaging, fine-grained OCR, or very long documents exceeding 130K tokens.
Pricing
$2.00/1M in
$6.00/1M out
→0%since May 2026
Context
131k tokens
Speed
Balanced
Available via Mistral API (la Plateforme) and supports self-hosted deployment. The '2411' suffix indicates a November 2024 release. Supersedes Mistral Large 2 as the primary flagship. Image input pricing follows the same $2/1M token rate.
Native image understanding including charts, diagrams, screenshots, and multi-image inputs
Strong multilingual text performance inherited from Mistral Large 2, particularly for European languages
Competitive pricing at $2/$6 per 1M tokens vs. GPT-4o and Claude Sonnet 4.6 for similar multimodal capability
GDPR-friendly European provider with on-premise and API deployment options
Weaknesses
131K context window falls short of Gemini 3.1 Pro's 1M+ token window for very long document tasks
Image reasoning quality trails GPT-4o and Claude Sonnet 4.6 on complex visual understanding benchmarks
Smaller ecosystem and fewer integrations compared to OpenAI and Anthropic offerings
Real-world use cases
What people actually use Mistral: Pixtral Large 2411 for.
Analyzing financial reports with embedded charts and extracting structured data from mixed text/image PDFs
Generating code from UI mockup screenshots or architecture diagrams
Multilingual customer support automation handling scanned documents or image attachments in French, German, or Spanish
Price History
Mistral: Pixtral Large 2411 pricing over time
→0% since May 9
48 data points · tracked daily since May 9, 2026
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Teams needing a capable European-hosted multimodal model for document analysis, visual QA, and code generation with image context.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
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Verdict
The best Mistral model for budget-conscious builders who still need multimodal capability and solid multilingual output.
Quality score
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Pricing
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Best for cost-sensitive teams needing solid coding, instruction-following, and basic vision tasks without paying flagship prices.
Context
131k tokens
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BudgetMultimodalMultilingualMid-tierVision
Best for
Cost-sensitive teams needing solid coding, instruction-following, and basic vision tasks without paying flagship prices.
Anthropic's new Mythos-class flagship and the most capable coding model anyone can use — 80.3% SWE-Bench Pro, an 11-point jump over Opus 4.8. 1M context, 128K output, native parallel subagents. Released June 9, 2026.
Verdict
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
Quality score
98%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
Best for the hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
Context
1M tokens
Launched June 9, 2026 as the public, Mythos-class release. Available on the Claude API, Microsoft Foundry, and Google Vertex AI. Free for all users until June 22, 2026. Same underlying model as Claude Mythos 5, with safeguards that block specific high-risk cyber responses.
Coding leaderSWE-Bench Pro #1Mythos-classParallel subagentsAgenticLong contextPremiumNew
Best for
The hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Mistral: Pixtral Large 2411 — added to UseRightAI
Mistral: Pixtral Large 2411 (Mistral) is now indexed. It supersedes Mistral Large 2. A capable and fairly priced multimodal flagship, best suited for Mistral ecosystem users and European compliance requirements.
Mistral: Pixtral Large 2411 is best for teams needing a capable european-hosted multimodal model for document analysis, visual qa, and code generation with image context.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.
When should I avoid Mistral: Pixtral Large 2411?
You need state-of-the-art visual reasoning for complex medical imaging, fine-grained OCR, or very long documents exceeding 130K tokens.
What is a cheaper alternative to Mistral: Pixtral Large 2411?
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
What is a faster alternative to Mistral: Pixtral Large 2411?
Mistral: Mistral Medium 3.1 is the better pick when response time matters more than maximum depth or premium quality.
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