API cost decision in 10 seconds

MiniMax M2.5 vs Qwen3 235B A22B Thinking 2507

Pick MiniMax M2.5 for lower cost; pick Qwen3 235B A22B Thinking 2507 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 MiniMax M2.5 for lower cost; pick Qwen3 235B A22B Thinking 2507 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, MiniMax M2.5 is estimated at $0.72 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.17 (19.2% lower).

Cost-first pickMiniMax M2.5
Context-first pickQwen3 235B A22B Thinking 2507
Sample savings$0.1719.2%
10x traffic gap$1.72

Qwen3 235B A22B Thinking 2507 has more context, but MiniMax M2.5 saves $0.17 on the standard workload. At 10x that traffic, the same price gap is about $1.72. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

MiniMax M2.5 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMiniMax M2.5Qwen3 235B A22B Thinking 2507
Input-heavy / RAG5M input + 500K outputMiniMax M2.5$1.32$1.5
Balanced workload1M input + 1M outputMiniMax M2.5$1.3$1.64
Output-heavy chatbot1M input + 5M outputMiniMax M2.5$5.9$7.62
Cheaper input Qwen3 235B A22B Thinking 2507 $0.15 vs $0.1495 / 1M

Qwen3 235B A22B Thinking 2507 is $0.0005 cheaper per 1M input tokens (0.3% lower; 1x difference).

Cheaper output MiniMax M2.5 $1.15 vs $1.495 / 1M

MiniMax M2.5 is $0.35 cheaper per 1M output tokens (23.1% lower; 1.3x difference).

Larger context Qwen3 235B A22B Thinking 2507 204.8K vs 262.14K

Qwen3 235B A22B Thinking 2507 has 57.34K more context (1.28x larger).

Sample workload MiniMax M2.5 $0.72 vs $0.9

MiniMax M2.5 is $0.17 cheaper on the standard workload (19.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
MiniMax M2.5 Calculating… Estimated API cost
Qwen3 235B A22B Thinking 2507 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

Qwen3 235B A22B Thinking 2507 has the lower input price; MiniMax M2.5 has the lower output price; Qwen3 235B A22B Thinking 2507 offers the larger context window. For the 1M input plus 500K output sample, MiniMax M2.5 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.72 for MiniMax M2.5 and $0.9 for Qwen3 235B A22B Thinking 2507.

Best Fit

Choose MiniMax M2.5 when you care most about lower output-token price.

Choose Qwen3 235B A22B Thinking 2507 when you care most about lower input-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, MiniMax M2.5 is estimated at $0.72 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.17 (19.2% lower).
  • MiniMax M2.5 is $0.17 cheaper on the standard workload (19.2% lower).
  • Qwen3 235B A22B Thinking 2507 is $0.0005 cheaper per 1M input tokens (0.3% lower; 1x difference).
  • MiniMax M2.5 is $0.35 cheaper per 1M output tokens (23.1% lower; 1.3x difference).
  • Qwen3 235B A22B Thinking 2507 has 57.34K more context (1.28x larger).
Head-to-Head Specs
FeatureMiniMax M2.5
(MiniMax)
Qwen3 235B A22B Thinking 2507
(Qwen)
Input Price
prompt tokens per 1M
$0.15$0.1495
Completion Price
per 1M tokens
$1.15$1.495
Sample Workload Cost
1M input + 500K output
$0.72$0.9
Context Window204.8K262.14K
Release Date
Popularity#35#133

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMiniMax M2.5On the standard 1M input plus 500K output workload, MiniMax M2.5 is estimated at $0.72 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.17 (19.2% lower).
High-volume input processingQwen3 235B A22B Thinking 2507Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMiniMax M2.5Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3 235B A22B Thinking 2507A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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MiniMax catalog

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Qwen catalog

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MiniMax M2.5

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...

Qwen3 235B A22B Thinking 2507

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...