API cost decision in 10 seconds

NewQwen3.7 Max vs NewMistral Medium 3.5

Pick Mistral Medium 3.5 for lower cost; pick Qwen3.7 Max only if the larger context window matters more.

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 Medium 3.5 for lower cost; pick Qwen3.7 Max only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Mistral Medium 3.5 is estimated at $5.25 vs $6.25 for Qwen3.7 Max, saving $1 (16% lower).

Cost-first pickMistral Medium 3.5

Context-first pickQwen3.7 Max

Sample savings$116%

10x traffic gap$10

Qwen3.7 Max has more context, but Mistral Medium 3.5 saves $1 on the standard workload. At 10x that traffic, the same price gap is about $10. 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 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Qwen3.7 Max	Mistral Medium 3.5
Input-heavy / RAG	5M input + 500K output	Mistral Medium 3.5	$16.25	$11.25
Balanced workload	1M input + 1M output	Mistral Medium 3.5	$10	$9
Output-heavy chatbot	1M input + 5M output	Mistral Medium 3.5	$40	$39

Cheaper input Mistral Medium 3.5 $2.5 vs $1.5 / 1M

Mistral Medium 3.5 is $1 cheaper per 1M input tokens (40% lower; 1.67x difference).

Cheaper output Tie $7.5 vs $7.5 / 1M

Both models report the same output price at $7.5 per 1M tokens.

Larger context Qwen3.7 Max 1M vs 262.14K

Qwen3.7 Max has 737.86K more context (3.81x larger).

Sample workload Mistral Medium 3.5 $6.25 vs $5.25

Mistral Medium 3.5 is $1 cheaper on the standard workload (16% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Qwen3.7 Max 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; both models tie on output price; Qwen3.7 Max offers the larger context window. For the 1M input plus 500K output sample, Mistral Medium 3.5 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $6.25 for Qwen3.7 Max and $5.25 for Mistral Medium 3.5.

Best Fit

Choose Qwen3.7 Max when you care most about 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, Mistral Medium 3.5 is estimated at $5.25 vs $6.25 for Qwen3.7 Max, saving $1 (16% lower).
Mistral Medium 3.5 is $1 cheaper on the standard workload (16% lower).
Mistral Medium 3.5 is $1 cheaper per 1M input tokens (40% lower; 1.67x difference).
Both models report the same output price at $7.5 per 1M tokens.
Qwen3.7 Max has 737.86K more context (3.81x larger).

Head-to-Head Specs

Feature	NewQwen3.7 Max (Qwen)	NewMistral Medium 3.5 (Mistral)
Input Price prompt tokens per 1M	$2.5	$1.5
Completion Price per 1M tokens	$7.5	$7.5
Sample Workload Cost 1M input + 500K output	$6.25	$5.25
Context Window	1M	262.14K
Release Date	2026-05-21	2026-04-30

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Mistral Medium 3.5	On the standard 1M input plus 500K output workload, Mistral Medium 3.5 is estimated at $5.25 vs $6.25 for Qwen3.7 Max, saving $1 (16% lower).
High-volume input processing	Mistral Medium 3.5	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Tie	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Qwen3.7 Max	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.7 Max when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3.7 Max when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3.7 Max when lower sample workload cost matters most: $0.09.
Qwen3.5-9B can replace Qwen3.7 Max when lower sample workload cost matters most: $0.11.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.

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Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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

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Qwen catalog

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

Open Qwen models

Mistral catalog

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

Open Mistral models

Qwen3.7 Max

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...

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...