API cost decision in 10 seconds

DeepSeek V4 Pro 0813 (batch) vs Mistral Medium 3.5 (batch)

Pick Mistral Medium 3.5 (batch) for lower cost; pick DeepSeek V4 Pro 0813 (batch) only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Mistral Medium 3.5 (batch) for lower cost; pick DeepSeek V4 Pro 0813 (batch) only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Mistral Medium 3.5 (batch) is estimated at $2.62 vs $3.3 for DeepSeek V4 Pro 0813 (batch), saving $0.67 (20.5% lower).

Cost-first pickMistral Medium 3.5 (batch)
Context-first pickDeepSeek V4 Pro 0813 (batch)
Sample savings$0.6720.5%
10x traffic gap$6.75

DeepSeek V4 Pro 0813 (batch) has more context, but Mistral Medium 3.5 (batch) saves $0.67 on the standard workload. At 10x that traffic, the same price gap is about $6.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Mistral Medium 3.5 (batch) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V4 Pro 0813 (batch)Mistral Medium 3.5 (batch)
Input-heavy / RAG5M input + 500K outputMistral Medium 3.5 (batch)$8.58$5.62
Balanced workload1M input + 1M outputMistral Medium 3.5 (batch)$5.28$4.5
Output-heavy chatbot1M input + 5M outputMistral Medium 3.5 (batch)$21.12$19.5
Cheaper input Mistral Medium 3.5 (batch) $1.32 vs $0.75 / 1M

Mistral Medium 3.5 (batch) is $0.57 cheaper per 1M input tokens (43.2% lower; 1.76x difference).

Cheaper output Mistral Medium 3.5 (batch) $3.96 vs $3.75 / 1M

Mistral Medium 3.5 (batch) is $0.21 cheaper per 1M output tokens (5.3% lower; 1.06x difference).

Larger context DeepSeek V4 Pro 0813 (batch) 1.05M vs 262.14K

DeepSeek V4 Pro 0813 (batch) has 786.43K more context (4x larger).

Sample workload Mistral Medium 3.5 (batch) $3.3 vs $2.62

Mistral Medium 3.5 (batch) is $0.67 cheaper on the standard workload (20.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V4 Pro 0813 (batch) Calculating… Estimated API cost
Mistral Medium 3.5 (batch) 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 Medium 3.5 (batch) has the lower input price; Mistral Medium 3.5 (batch) has the lower output price; DeepSeek V4 Pro 0813 (batch) offers the larger context window. For the 1M input plus 500K output sample, Mistral Medium 3.5 (batch) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $3.3 for DeepSeek V4 Pro 0813 (batch) and $2.62 for Mistral Medium 3.5 (batch).

Best Fit

Choose DeepSeek V4 Pro 0813 (batch) when you care most about larger context window.

Choose Mistral Medium 3.5 (batch) when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Mistral Medium 3.5 (batch) is estimated at $2.62 vs $3.3 for DeepSeek V4 Pro 0813 (batch), saving $0.67 (20.5% lower).
  • Mistral Medium 3.5 (batch) is $0.67 cheaper on the standard workload (20.5% lower).
  • Mistral Medium 3.5 (batch) is $0.57 cheaper per 1M input tokens (43.2% lower; 1.76x difference).
  • Mistral Medium 3.5 (batch) is $0.21 cheaper per 1M output tokens (5.3% lower; 1.06x difference).
  • DeepSeek V4 Pro 0813 (batch) has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureDeepSeek V4 Pro 0813 (batch)
(DeepSeek)
Mistral Medium 3.5 (batch)
(Mistral)
Input Price
prompt tokens per 1M
$1.32$0.75
Completion Price
per 1M tokens
$3.96$3.75
Sample Workload Cost
1M input + 500K output
$3.3$2.62
Context Window1.05M262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMistral Medium 3.5 (batch)On the standard 1M input plus 500K output workload, Mistral Medium 3.5 (batch) is estimated at $2.62 vs $3.3 for DeepSeek V4 Pro 0813 (batch), saving $0.67 (20.5% lower).
High-volume input processingMistral Medium 3.5 (batch)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMistral Medium 3.5 (batch)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V4 Pro 0813 (batch)A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Larger context alternatives

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Provider catalogs

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DeepSeek catalog

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

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Mistral catalog

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

Open Mistral models
DeepSeek V4 Pro 0813 (batch)

DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.

Mistral Medium 3.5 (batch)

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...