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HomeModelsMistral Small 3.1
MistralBudget

Mistral Small 3.1

Ultra-cheap multimodal model for massive-volume, low-complexity pipelines.

55
Coding
66
Writing
52
Research
65
Images
98
Value
50
Long Context
Use this when

Ultra-high-volume classification, summarisation, and lightweight vision tasks

Skip this if

You need reliable multi-step reasoning or coding quality — it won't hold up.

Pricing
$0.10/1M in
$0.30/1M out
→0%since May 2026
Context
128k tokens
Speed
Very fast

At $0.10/1M input, the cost question disappears. The only question is whether the task complexity exceeds what Mistral Small can handle.

How to access
API
$0.1/1M input tokens
Subscription = chat interface. API = build with it. Compare all subscription plans
Switch to instead if...
Best overall
Claude Fable 5
Cheaper option
Meta: Llama 3.1 8B Instruct
Faster option
Mistral: Mistral Medium 3.1

Strengths

One of the cheapest models in the directory at $0.10/1M input

Multimodal — handles images alongside text at this price point

Fast and efficient for simple, well-defined tasks

Weaknesses

Weak on complex reasoning, hard coding, and nuanced writing

Not suitable for tasks requiring deep context retention or multi-step logic

Limited to simpler use cases compared to Codestral or DeepSeek V3

Real-world use cases

What people actually use Mistral Small 3.1 for.

Bulk document classification and tagging pipelines at near-zero cost

Image description and OCR-adjacent tasks where full multimodal models are overkill

High-frequency lightweight summarisation in cost-sensitive products

Price History

Mistral Small 3.1 pricing over time

→0% since May 8

$0.108$0.104$0.100$0.096$0.092May 8May 17May 27Jun 4Jun 13Jun 22

45 data points · tracked daily since May 8, 2026

Ready to try it?

Start using Mistral Small 3.1

Ultra-high-volume classification, summarisation, and lightweight vision tasks. Start free — no card required.

Try Mistral Small 3.1 freeCompare alternatives

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: 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
70%
Pricing
$0.40/1M in
$2.00/1M out
Speed
Fast
Best for cost-sensitive teams needing solid coding, instruction-following, and basic vision tasks without paying flagship prices.
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.
View model
MistralBudget

Mistral: Voxtral Small 24B 2507

Voxtral Small 24B is Mistral's audio-capable language model, designed for speech transcription, voice understanding, and spoken language tasks at a budget-friendly price point. It supersedes Mistral Small 3.1 with native audio input support built on a 24B parameter base.

Verdict
A purpose-built budget audio model that excels at voice tasks but stumbles on context length and general-purpose depth.
Quality score
47%
Pricing
$0.10/1M in
$0.30/1M out
Speed
Fast
Best for transcribing, analyzing, and responding to audio input cost-effectively without needing a separate speech-to-text pipeline.
Context
32k tokens
Voxtral Small is audio-in capable but does not support image input. The 32K context window is notably short for a 2025 model. Pricing is via Mistral's API; availability through third-party providers may vary. Check whether your use case requires audio input — the text-only version of Mistral Small 3.1 may be more appropriate for pure text workloads.
Audio AIBudgetMultilingualSpeechMistral
Best for
Transcribing, analyzing, and responding to audio input cost-effectively without needing a separate speech-to-text pipeline.
View model
GoogleBudget

Google: Gemini 3 Flash Preview

Gemini 3 Flash Preview is Google's budget-tier multimodal model optimized for high-throughput, low-latency tasks at scale. It offers a massive 1M token context window at aggressive pricing, making it a strong contender for cost-sensitive production workloads.

Verdict
A fast, affordable workhorse for long-context and high-volume tasks — just don't build critical systems on a Preview model.
Quality score
74%
Pricing
$0.50/1M in
$3.00/1M out
Speed
Very fast
Best for high-volume document processing, summarization pipelines, and long-context tasks where cost efficiency matters more than frontier-level reasoning.
Context
1.0M tokens
This is a preview model and may have limited availability, unstable rate limits, and pricing that changes before general availability. Output cost at $3/1M is notably higher than input cost, so applications generating long outputs should budget accordingly.
BudgetLong ContextFastMultimodalPreview
Best for
High-volume document processing, summarization pipelines, and long-context tasks where cost efficiency matters more than frontier-level reasoning.
View model

Change history

Pricing moves, ranking shifts, and capability updates.

PricingApr 30, 2026

Mistral Small 3.1 — output price increase

Mistral Small 3.1 output pricing changed from $0.11/1M to $0.56/1M (↑ more expensive, 409% increase).

View model
PricingApr 30, 2026

Mistral Small 3.1 — input price increase

Mistral Small 3.1 input pricing changed from $0.03/1M to $0.35/1M (↑ more expensive, 1067% increase).

View model
PricingMar 30, 2026

Mistral Small 3.1 — output price cut

Mistral Small 3.1 output pricing changed from $0.30/1M to $0.11/1M (↓ cheaper, 63% cut).

View model
PricingMar 30, 2026

Mistral Small 3.1 — input price cut

Mistral Small 3.1 input pricing changed from $0.10/1M to $0.03/1M (↓ cheaper, 70% cut).

View model

FAQ

What is Mistral Small 3.1 best for?

Mistral Small 3.1 is best for ultra-high-volume classification, summarisation, and lightweight vision tasks. 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 3.1?

You need reliable multi-step reasoning or coding quality — it won't hold up.

What is a cheaper alternative to Mistral Small 3.1?

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 Small 3.1?

Mistral: Mistral Medium 3.1 is the better pick when response time matters more than maximum depth or premium quality.

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