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 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
How Pixtral Large 2411 compares
The nearest models people weigh against it, and what actually separates them.
vs Mistral Medium 3.1 — Against Mistral Medium 3.1 (Mistral), Pixtral Large 2411 costs about 70% more per token and answers slower. Mistral Medium 3.1 is the one to check first if the price difference matters more than the ceiling.
vs Claude Fable 5 — Against Claude Fable 5 (Anthropic), Pixtral Large 2411 runs about 87% cheaper per token, gives up 7.6x on context and answers faster. Take Pixtral Large 2411 unless you specifically need what Claude Fable 5 does better.
vs Claude Fable 5.1 — Against Claude Fable 5.1 (Anthropic), Pixtral Large 2411 runs about 87% cheaper per token, gives up 7.6x on context and answers faster. Take Pixtral Large 2411 unless you specifically need what Claude Fable 5.1 does better.
Price History
Pixtral Large 2411 pricing over time
→0% since May 30
90 data points · tracked daily since May 30, 2026
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Start using Pixtral Large 2411
Teams needing a capable European-hosted multimodal model for document analysis, visual QA, and code generation with image context.. Start free — no card required.
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
70%
Pricing
$0.40/1M in
$2.00/1M out
Speed
Fast
4/5 speed
Context
131k tokens
Officially supersedes Mistral Large 2, representing a generational shift in Mistral's lineup toward multimodal capability at lower cost tiers. Available via Mistral API and select cloud providers. No function calling limitations noted at this tier.
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
2/5 speed
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
Anthropic's September 1, 2026 frontier release and the new capability ceiling for coding, agents, and scientific work. Base pricing is unchanged at $10/$50, but cache reads dropped 75% to $0.25/1M — roughly 25% cheaper on typical workloads and up to 45% cheaper on agentic ones. 1M context, 128K output, adaptive thinking always on.
Verdict
New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.
Quality score
98%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1M tokens
Released September 1, 2026 alongside Claude Mythos 5.1, the first update to the Mythos-class line since Fable 5 on June 9. API ID claude-fable-5-1; generally available on the Claude API, Amazon Bedrock, Google Cloud, and Microsoft Foundry. Published launch numbers (Fable 5.1 / Fable 5 / Opus 5 / GPT-5.6 Sol): Terminal-Bench-Science 0.1 52.6 / 24.7 / 29.0 / 22.4; Terminal-Bench 4.0 55.8 / 42.0 / 52.3 / 37.3; CursorBench 3.2.0 73.4 / 70.5 / 70.0 / 67.2; AutomationBench 31.4 / 17.1 / 26.9 / 19.6; OSWorld 2.0 strict 41.7 / 36.1 / 39.6; Humanity's Last Exam (no tools) 60.9 / 57.8 / 56.6; GDPval-AA v2 1853 / 1723 / 1824 / 1711. GDPval-AA v2 is rescaled from the v1 numbers quoted on the Fable 5 page and is not directly comparable to them.
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.
Pixtral Large 2411 costs $2 per million input tokens and $6 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $32.00 at list price, before any batch or caching discounts.
What is Pixtral Large 2411 best for?
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 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 Pixtral Large 2411?
Mistral Medium 3.1 (Mistral) at $0.40/1M/1M input against Pixtral Large 2411's $2.00/1M/1M — roughly 70% less per token all in. The best Mistral model for budget-conscious builders who still need multimodal capability and solid multilingual output. Compare it first if Pixtral Large 2411's pricing is the thing stopping you.
What is a faster alternative to Pixtral Large 2411?
Claude Fable 5 — deliberate against Pixtral Large 2411's balanced, with 1M tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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