API cost decision in 10 seconds

Mistral Small 4 vs DeepSeek V3.2 Speciale

Pick Mistral Small 4 when budget and context both matter.

Page updated: 2026-05-26T10:03:26Z Data confirmed: 2026-05-26T13:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Mistral Small 4 when budget and context both matter.

On the standard 1M input plus 500K output workload, Mistral Small 4 is estimated at $0.45 vs $0.5 for DeepSeek V3.2 Speciale, saving $0.05 (10.4% lower).

Cost-first pickMistral Small 4

Context-first pickMistral Small 4

Sample savings$0.0510.4%

10x traffic gap$0.52

Mistral Small 4 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.52. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Mistral Small 4, balanced workload favors DeepSeek V3.2 Speciale, and output-heavy chatbot favors DeepSeek V3.2 Speciale.

Workload shape	Token mix	Better pick	Mistral Small 4	DeepSeek V3.2 Speciale
Input-heavy / RAG	5M input + 500K output	Mistral Small 4	$1.05	$1.65
Balanced workload	1M input + 1M output	DeepSeek V3.2 Speciale	$0.75	$0.72
Output-heavy chatbot	1M input + 5M output	DeepSeek V3.2 Speciale	$3.15	$2.44

Cheaper input Mistral Small 4 $0.15 vs $0.287 / 1M

Mistral Small 4 is $0.14 cheaper per 1M input tokens (47.7% lower; 1.91x difference).

Cheaper output DeepSeek V3.2 Speciale $0.6 vs $0.431 / 1M

DeepSeek V3.2 Speciale is $0.17 cheaper per 1M output tokens (28.2% lower; 1.39x difference).

Larger context Mistral Small 4 262.14K vs 163.84K

Mistral Small 4 has 98.3K more context (1.6x larger).

Sample workload Mistral Small 4 $0.45 vs $0.5

Mistral Small 4 is $0.05 cheaper on the standard workload (10.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Mistral Small 4 Calculating… Estimated API cost

DeepSeek V3.2 Speciale Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Mistral Small 4 has the lower input price; DeepSeek V3.2 Speciale has the lower output price; Mistral Small 4 offers the larger context window. For the 1M input plus 500K output sample, Mistral Small 4 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.45 for Mistral Small 4 and $0.5 for DeepSeek V3.2 Speciale.

Best Fit

Choose Mistral Small 4 when you care most about lower input-token price, and larger context window.

Choose DeepSeek V3.2 Speciale when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Mistral Small 4 is estimated at $0.45 vs $0.5 for DeepSeek V3.2 Speciale, saving $0.05 (10.4% lower).
Mistral Small 4 is $0.05 cheaper on the standard workload (10.4% lower).
Mistral Small 4 is $0.14 cheaper per 1M input tokens (47.7% lower; 1.91x difference).
DeepSeek V3.2 Speciale is $0.17 cheaper per 1M output tokens (28.2% lower; 1.39x difference).
Mistral Small 4 has 98.3K more context (1.6x larger).

Head-to-Head Specs

Feature	Mistral Small 4 (Mistral)	DeepSeek V3.2 Speciale (DeepSeek)
Input Price prompt tokens per 1M	$0.15	$0.287
Completion Price per 1M tokens	$0.6	$0.431
Sample Workload Cost 1M input + 500K output	$0.45	$0.5
Context Window	262.14K	163.84K
Release Date	2026-03-16	2025-12-01

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Mistral Small 4	On the standard 1M input plus 500K output workload, Mistral Small 4 is estimated at $0.45 vs $0.5 for DeepSeek V3.2 Speciale, saving $0.05 (10.4% lower).
High-volume input processing	Mistral Small 4	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	DeepSeek V3.2 Speciale	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Mistral Small 4	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Mistral Nemo can replace Mistral Small 4 when lower sample workload cost matters most: $0.04.
Mistral Small 3 can replace Mistral Small 4 when lower sample workload cost matters most: $0.09.
Ministral 3 3B 2512 can replace Mistral Small 4 when lower sample workload cost matters most: $0.15.
Mistral Small 3.2 24B can replace Mistral Small 4 when lower sample workload cost matters most: $0.17.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

Cheaper alternatives

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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Mistral catalog

Review all tracked Mistral models before deciding whether this matchup is the right shortlist.

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DeepSeek catalog

Check other DeepSeek models with comparable pricing, context, or release timing.

Open DeepSeek models

Mistral Small 4

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...

DeepSeek V3.2 Speciale

DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning...