API cost decision in 10 seconds

NewQwen3.8 2.4T A95B vs Mistral Medium 3.5

Pick Qwen3.8 2.4T A95B when budget and context both matter.

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

Budget verdict

Pick Qwen3.8 2.4T A95B when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3.8 2.4T A95B is estimated at $5 vs $5.25 for Mistral Medium 3.5, saving $0.25 (4.8% lower).

Cost-first pickQwen3.8 2.4T A95B
Context-first pickQwen3.8 2.4T A95B
Sample savings$0.254.8%
10x traffic gap$2.5

Qwen3.8 2.4T A95B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.5. 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 Medium 3.5, balanced workload favors Qwen3.8 2.4T A95B, and output-heavy chatbot favors Qwen3.8 2.4T A95B.

Workload shapeToken mixBetter pickQwen3.8 2.4T A95BMistral Medium 3.5
Input-heavy / RAG5M input + 500K outputMistral Medium 3.5$13$11.25
Balanced workload1M input + 1M outputQwen3.8 2.4T A95B$8$9
Output-heavy chatbot1M input + 5M outputQwen3.8 2.4T A95B$32$39
Cheaper input Mistral Medium 3.5 $2 vs $1.5 / 1M

Mistral Medium 3.5 is $0.5 cheaper per 1M input tokens (25% lower; 1.33x difference).

Cheaper output Qwen3.8 2.4T A95B $6 vs $7.5 / 1M

Qwen3.8 2.4T A95B is $1.5 cheaper per 1M output tokens (20% lower; 1.25x difference).

Larger context Qwen3.8 2.4T A95B 1.05M vs 262.14K

Qwen3.8 2.4T A95B has 786.43K more context (4x larger).

Sample workload Qwen3.8 2.4T A95B $5 vs $5.25

Qwen3.8 2.4T A95B is $0.25 cheaper on the standard workload (4.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.8 2.4T A95B Calculating… Estimated API cost
Mistral Medium 3.5 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 has the lower input price; Qwen3.8 2.4T A95B has the lower output price; Qwen3.8 2.4T A95B offers the larger context window. For the 1M input plus 500K output sample, Qwen3.8 2.4T A95B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $5 for Qwen3.8 2.4T A95B and $5.25 for Mistral Medium 3.5.

Best Fit

Choose Qwen3.8 2.4T A95B when you care most about lower output-token price, and larger context window.

Choose Mistral Medium 3.5 when you care most about lower input-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.8 2.4T A95B is estimated at $5 vs $5.25 for Mistral Medium 3.5, saving $0.25 (4.8% lower).
  • Qwen3.8 2.4T A95B is $0.25 cheaper on the standard workload (4.8% lower).
  • Mistral Medium 3.5 is $0.5 cheaper per 1M input tokens (25% lower; 1.33x difference).
  • Qwen3.8 2.4T A95B is $1.5 cheaper per 1M output tokens (20% lower; 1.25x difference).
  • Qwen3.8 2.4T A95B has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureNewQwen3.8 2.4T A95B
(Qwen)
Mistral Medium 3.5
(Mistral)
Input Price
prompt tokens per 1M
$2$1.5
Completion Price
per 1M tokens
$6$7.5
Sample Workload Cost
1M input + 500K output
$5$5.25
Context Window1.05M262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.8 2.4T A95BOn the standard 1M input plus 500K output workload, Qwen3.8 2.4T A95B is estimated at $5 vs $5.25 for Mistral Medium 3.5, saving $0.25 (4.8% lower).
High-volume input processingMistral Medium 3.5Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3.8 2.4T A95BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3.8 2.4T A95BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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Qwen catalog

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Mistral catalog

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Open Mistral models
Qwen3.8 2.4T A95B

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...

Mistral Medium 3.5

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...