A lean, fast, affordable workhorse for text tasks — ideal for scale, not for depth.
68
Coding
74
Writing
58
Research
0
Images
92
Value
30
Long Context
Use this when
High-volume, cost-sensitive applications like customer support automation, content drafting, and lightweight code assistance.
Skip this if
You need to process long documents, perform complex multi-step reasoning, or handle any visual/multimodal inputs.
Pricing
$0.35/1M in
$0.55/1M out
↑602%since Aug 2026
Context
33k tokens
Speed
Very fast
Pricing is exceptionally competitive at $0.05/$0.08 per 1M tokens. Available via Mistral's La Plateforme API and various third-party providers. GDPR-friendly EU-based hosting is a notable advantage for European enterprise customers. No image input or output support.
Extremely low cost at ~$0.05/1M input tokens, undercutting GPT-4o Mini and Claude Haiku on price
Strong instruction-following for its size, suitable for structured output and classification tasks
Fast inference makes it viable for real-time or high-throughput pipelines
Multilingual capability with solid French, Spanish, German, and Italian support — expected from Mistral
Weaknesses
32K context window is significantly smaller than competitors like Gemini Flash (1M) or Claude Haiku (200K)
Reasoning depth falls short of larger models; complex multi-step logic produces inconsistent results
Limited multimodal capability — text-only, no image input or generation
Real-world use cases
What people actually use Mistral Small 3 for.
Automating customer support ticket classification and initial response drafting at scale
Generating product descriptions or marketing copy in multiple European languages
Writing and reviewing short code snippets, boilerplate, or simple scripts
How Mistral Small 3 compares
The nearest models people weigh against it, and what actually separates them.
vs Mistral Large 3 2512 — Against Mistral Large 3 2512 (Mistral), Mistral Small 3 runs about 55% cheaper per token, gives up 8x on context and answers faster. Take Mistral Small 3 unless you specifically need what Mistral Large 3 2512 does better.
vs Mistral Small 3.2 24B — Against Mistral Small 3.2 24B (Mistral), Mistral Small 3 costs about 70% more per token, gives up 3.9x on context and answers faster. Mistral Small 3.2 24B is the one to check first if the price difference matters more than the ceiling.
vs Claude Haiku 5.5 — Against Claude Haiku 5.5 (Anthropic), Mistral Small 3 costs about 34% more per token and gives up 30.5x on context. Claude Haiku 5.5 is the one to check first if the price difference matters more than the ceiling.
Price History
Mistral Small 3 pricing over time
↑602% since Aug 4
90 data points · tracked daily since Aug 4, 2026
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High-volume, cost-sensitive applications like customer support automation, content drafting, and lightweight code assistance.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Compare alternatives
Similar models worth checking before you commit.
MistralBudget
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
$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 Small 3.2 24B is a compact 24-billion parameter model from Mistral that punches well above its weight class, superseding Mistral Large 2 at a fraction of the cost. It handles coding, instruction-following, and multilingual tasks with strong efficiency for its size.
Verdict
The best budget coding model available today, offering frontier-adjacent performance at commodity pricing.
Quality score
68%
Pricing
$0.07/1M in
$0.20/1M out
Speed
Fast
4/5 speed
Context
128k tokens
Mistral Small 3.2 is available as an open-weight model, making it deployable on-premises or via self-hosted infrastructure — a key differentiator over GPT-4o Mini and Claude Haiku for privacy-sensitive use cases.
BudgetCodingEfficientOpen-weightMultilingual
Best for
High-volume production workloads where cost matters but quality can't be sacrificed entirely — especially code generation and structured output tasks.
Anthropic's October 7, 2026 low-cost model and the first Haiku with adjustable reasoning effort — thinking can be switched off for simple requests or raised to max, at $0.10/$0.50 per 1M under 100K input tokens.
Verdict
Anthropic's budget model, now with adjustable reasoning, at $0.10/$0.50.
Quality score
82%
Pricing
$0.10/1M in
$0.50/1M out
Speed
Very fast
5/5 speed
Context
1M tokens
Announced September 28, 2026 alongside Sonnet 5.5; generally available October 7, 2026. Gateway id anthropic/claude-haiku-5.5. Tiered pricing: $0.10/$0.50 per 1M up to 100K input tokens, $0.50/$2.50 above. 1,000,000 context, 128,000 max output. Launch figures as reported by Anthropic: Terminal-Bench 4.0 39.2 (max effort), 31.6 (extra), 12.8 (low); OSWorld 2.1 offline subset 72.4 (Haiku 4.5: 15.7). Verified October 10, 2026.
BudgetFastHigh volumeSub-agentsNew
Best for
High-volume tool use, sub-agents and everyday tasks on a tight budget
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Mistral: Mistral Small 3 — added to UseRightAI
Mistral: Mistral Small 3 (Mistral) is now indexed. It supersedes Mistral Large 2. A lean, fast, affordable workhorse for text tasks — ideal for scale, not for depth.
Mistral Small 3 costs $0.351 per million input tokens and $0.5549999999999999 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $4.62 at list price, before any batch or caching discounts.
What is Mistral Small 3 best for?
Mistral Small 3 is best for high-volume, cost-sensitive applications like customer support automation, content drafting, and lightweight code assistance.. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and very fast speed.
When should I avoid Mistral Small 3?
You need to process long documents, perform complex multi-step reasoning, or handle any visual/multimodal inputs.
What is a cheaper alternative to Mistral Small 3?
Claude Haiku 5.5 (Anthropic) at $0.10/1M/1M input against Mistral Small 3's $0.35/1M/1M — roughly 34% less per token all in. Anthropic's budget model, now with adjustable reasoning, at $0.10/$0.50. Compare it first if Mistral Small 3's pricing is the thing stopping you.
What is a faster alternative to Mistral Small 3?
Mistral Large 3 2512 — balanced against Mistral Small 3's very 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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