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
Monthly cost estimate
See what Mistral: Pixtral Large 2411 actually costs at your usage level
Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$2.00
Output cost
$3.00
Total / month
$5.00
Based on Mistral: Pixtral Large 2411 API pricing: $2/1M input · $6/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
Mistral: Pixtral Large 2411 pricing over time
→0% since Mar 27
2 data points · tracked daily since Mar 27, 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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Mistral: Mistral Medium 3.1
Mistral Medium 3.1 is a multimodal mid-tier model from Mistral that supersedes Mistral Large 2, offering vision capabilities alongside strong text performance at a significantly reduced price point. It targets the sweet spot between budget models and expensive flagships, with a 128K context window and competitive multilingual support.
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
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BudgetMultimodalMultilingualMid-tierVision
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Cost-sensitive teams needing solid coding, instruction-following, and basic vision tasks without paying flagship prices.
Mistral Large 3 2512 is Mistral's flagship dense model updated in December 2025, offering strong multilingual reasoning and coding capabilities at a significantly reduced price point compared to its predecessor. It targets enterprise workloads that need high-quality outputs without paying top-tier frontier model prices.
Verdict
The best price-per-quality ratio in the non-mini flagship tier, especially for multilingual and long-context enterprise tasks.
Quality score
69%
Pricing
$0.50/1M in
$1.50/1M out
Speed
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Best for multilingual enterprise tasks, code generation, and long-document analysis where cost efficiency matters more than absolute state-of-the-art performance.
Context
262k tokens
Pricing of $0.50 input / $1.50 output per 1M tokens places it firmly in the budget-flagship category. Available via Mistral API (La Plateforme) and major cloud providers. December 2025 update ('2512') improves instruction following over the earlier 2407 release.
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Mistral Medium 3 is a mid-tier model from Mistral AI that punches above its weight class, officially superseding Mistral Large 2 while costing a fraction of the price. It targets teams needing capable multilingual and coding performance without flagship-level spend.
Verdict
The most capable budget model Mistral has shipped — a smart default for high-volume teams that need real performance without flagship pricing.
Quality score
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Pricing
$0.40/1M in
$2.00/1M out
Speed
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Context
131k tokens
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BudgetMultilingualCodingHigh VolumeMid-Tier
Best for
Cost-conscious teams running high-volume coding, summarization, or multilingual tasks at enterprise scale.
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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