A capable MoE workhorse with strong multilingual chops, but its short context window and rising competition have eroded its value proposition.
72
Coding
75
Writing
68
Research
0
Images
58
Value
35
Long Context
Use this when
Teams needing strong multilingual capabilities and solid coding performance at a mid-tier price point without relying on OpenAI or Anthropic infrastructure.
Strengths
Strong multilingual performance across French, Spanish, Italian, German, and other European languages — notably better than GPT-3.5-class models
MoE architecture delivers high-quality outputs with fewer active parameters, keeping latency competitive for its capability tier
Solid function-calling and instruction-following, making it reliable for agentic pipelines
Open-weight availability means it can be self-hosted, reducing vendor lock-in compared to closed models
Weaknesses
Monthly cost estimate
See what Mistral: Mixtral 8x22B Instruct 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: Mixtral 8x22B Instruct 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: Mixtral 8x22B Instruct pricing over time
→0% since May 9
4 data points · tracked daily since May 9, 2026
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Teams needing strong multilingual capabilities and solid coding performance at a mid-tier price point without relying on OpenAI or Anthropic infrastructure.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Compare alternatives
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Mistral: Mistral Large 3 2512
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
$2.00/1M in
$6.00/1M out
Speed
Change history
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Mistral: Mixtral 8x22B Instruct — added to UseRightAI
Mistral: Mixtral 8x22B Instruct (Mistral) is now indexed. A capable MoE workhorse with strong multilingual chops, but its short context window and rising competition have eroded its value proposition.
Mistral: Mixtral 8x22B Instruct is best for teams needing strong multilingual capabilities and solid coding performance at a mid-tier price point without relying on openai or anthropic infrastructure.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.
When should I avoid Mistral: Mixtral 8x22B Instruct?
You need to process long documents (>65K tokens), require vision/image understanding, or want the best coding performance per dollar — cheaper models now match or beat it there.
What is a cheaper alternative to Mistral: Mixtral 8x22B Instruct?
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: Mixtral 8x22B Instruct?
Mistral: Mistral Large 3 2512 is the better pick when response time matters more than maximum depth or premium quality.
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Skip this if
You need to process long documents (>65K tokens), require vision/image understanding, or want the best coding performance per dollar — cheaper models now match or beat it there.
65K context window is noticeably limited compared to Gemini 3.1 Pro (1M+) or Claude Sonnet 4.6 (200K), making it a poor fit for long-document work
Coding and reasoning benchmarks trail GPT-4o and Claude Sonnet 4.6 at similar or lower price points, reducing its competitive edge
No native multimodal (image/vision) support, limiting its use in mixed-media workflows
Balanced
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.
Multilingual enterprise tasks, code generation, and long-document analysis where cost efficiency matters more than absolute state-of-the-art performance.
Claude 3.5 Sonnet is Anthropic's mid-cycle flagship model, balancing strong reasoning, coding, and instruction-following with a 200K context window. It sits between Haiku and Opus in Anthropic's lineup, offering near-flagship quality at a lower cost than top-tier models.
Verdict
One of the best models for coding and complex instruction-following, but its premium pricing demands premium use cases.
Quality score
81%
Pricing
$6.00/1M in
$30.00/1M out
Speed
Balanced
Best for complex coding tasks, multi-step reasoning, and long-document analysis where gpt-4o-class quality is needed without paying for the absolute top tier.
Context
200k tokens
Pricing at $6 input / $30 output per million tokens is significantly higher than GPT-4o ($2.50/$10). Best accessed via Anthropic API or Amazon Bedrock. Claude 3.5 Sonnet (October 2024 version) supersedes the June 2024 release with improved performance.
Claude Opus 4 is Anthropic's most capable flagship model, designed for complex reasoning, nuanced writing, and sophisticated multi-step tasks. It sits at the top of the Claude 4 family, prioritizing depth and quality over speed.
Verdict
Anthropic's best model for when quality matters more than speed or cost.
Quality score
84%
Pricing
$5.00/1M in
$25.00/1M out
Speed
Deliberate
Best for demanding professional tasks requiring deep reasoning, nuanced judgment, and high-quality long-form output.
Context
200k tokens
At $15 input / $75 output per 1M tokens, Opus 4 is one of the most expensive models available. Anthropic recommends using Claude Sonnet 4 for most production use cases and reserving Opus 4 for tasks explicitly requiring maximum capability.
FlagshipPremiumReasoningLong ContextAgentic
Best for
Demanding professional tasks requiring deep reasoning, nuanced judgment, and high-quality long-form output.
