A historically significant open-weight model that's been surpassed by newer alternatives but still earns its place in self-hosted and multilingual pipelines.
68
Coding
65
Writing
60
Research
0
Images
62
Value
30
Long Context
Use this when
Developers and teams needing a capable open-weight model for coding, multilingual tasks, and general instruction-following without flagship model pricing.
Skip this if
You need deep reasoning, very long documents, or cutting-edge instruction-following quality — modern alternatives at similar or lower cost now outperform it.
Pricing
$0.54/1M in
$0.54/1M out
→0%since May 2026
Context
33k tokens
Speed
Fast
Pricing is symmetric at $0.54/1M for both input and output. As an open-weight model, costs can drop significantly if self-hosted. The 32K context window is a hard ceiling — plan accordingly for document-heavy workflows.
Sparse MoE architecture delivers near-13B active-parameter efficiency while leveraging 46.7B total parameters, punching above its compute weight
Strong multilingual support including French, Italian, German, Spanish, and English — well ahead of most models in its price class
Solid code generation in Python, JavaScript, and SQL, competitive with older GPT-3.5-tier models
Fully open-weight model available for self-hosting, giving teams full data control and flexibility
Weaknesses
32K context window is limiting compared to modern competitors like Gemini 3.1 Pro (1M tokens) or Claude Sonnet 4.6 (200K tokens)
Reasoning and complex multi-step problem solving lag behind current flagship models by a notable margin
Newer Mistral models (Mistral Large, Mistral Small 3) have largely superseded it in capability-per-dollar
Real-world use cases
What people actually use Mixtral 8x7B Instruct for.
Automating multilingual customer support responses across French, German, and Spanish markets
Generating and reviewing Python or SQL code in a self-hosted environment with strict data residency requirements
Summarizing medium-length research documents or news articles within the 32K context limit
How Mixtral 8x7B Instruct compares
The nearest models people weigh against it, and what actually separates them.
vs Mistral Large 3 2512 — Against Mistral Large 3 2512 (Mistral), Mixtral 8x7B Instruct runs about 46% cheaper per token, gives up 8x on context and answers faster. Take Mixtral 8x7B Instruct unless you specifically need what Mistral Large 3 2512 does better.
vs Mistral Medium 3 — Against Mistral Medium 3 (Mistral), Mixtral 8x7B Instruct runs about 55% cheaper per token and gives up 4x on context. Take Mixtral 8x7B Instruct unless you specifically need what Mistral Medium 3 does better.
vs Mistral Medium 3.1 — Against Mistral Medium 3.1 (Mistral), Mixtral 8x7B Instruct runs about 55% cheaper per token and gives up 4x on context. Take Mixtral 8x7B Instruct unless you specifically need what Mistral Medium 3.1 does better.
Price History
Mixtral 8x7B Instruct pricing over time
→0% since May 31
90 data points · tracked daily since May 31, 2026
Ready to try it?
Start using Mixtral 8x7B Instruct
Developers and teams needing a capable open-weight model for coding, multilingual tasks, and general instruction-following without flagship model pricing.. Start free — no card required.
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
Balanced
3/5 speed
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.
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
67%
Pricing
$0.40/1M in
$2.00/1M out
Speed
Fast
4/5 speed
Context
131k tokens
Priced at $0.40 input / $2.00 output per 1M tokens. Officially supersedes Mistral Large 2, making it an easy drop-in upgrade for existing Mistral users. Available via Mistral's API and La Plateforme.
BudgetMultilingualCodingHigh VolumeMid-Tier
Best for
Cost-conscious teams running high-volume coding, summarization, or multilingual tasks at enterprise scale.
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.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Mistral: Mixtral 8x7B Instruct — added to UseRightAI
Mistral: Mixtral 8x7B Instruct (Mistral) is now indexed. A historically significant open-weight model that's been surpassed by newer alternatives but still earns its place in self-hosted and multilingual pipelines.
Mixtral 8x7B Instruct costs $0.54 per million input tokens and $0.54 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $6.48 at list price, before any batch or caching discounts.
What is Mixtral 8x7B Instruct best for?
Mixtral 8x7B Instruct is best for developers and teams needing a capable open-weight model for coding, multilingual tasks, and general instruction-following without flagship model pricing.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and fast speed.
When should I avoid Mixtral 8x7B Instruct?
You need deep reasoning, very long documents, or cutting-edge instruction-following quality — modern alternatives at similar or lower cost now outperform it.
What is a cheaper alternative to Mixtral 8x7B Instruct?
GPT-5.1-Codex-Max (OpenAI) at $1.25/1M/1M input against Mixtral 8x7B Instruct's $0.54/1M/1M. The strongest choice for serious software engineering work, provided you can absorb the output-side pricing. Compare it first if Mixtral 8x7B Instruct's pricing is the thing stopping you.
What is a faster alternative to Mixtral 8x7B Instruct?
Mistral Large 3 2512 — balanced against Mixtral 8x7B Instruct's fast, with 262k 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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