API cost decision in 10 seconds

GPT-5 Mini vs MiniMax M2

Pick MiniMax M2 for lower cost; pick GPT-5 Mini 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 for lower cost; pick GPT-5 Mini only if the larger context window matters more.

On the standard 1M input plus 500K output workload, MiniMax M2 is estimated at $0.76 vs $1.25 for GPT-5 Mini, saving $0.49 (39.6% lower).

Cost-first pickMiniMax M2
Context-first pickGPT-5 Mini
Sample savings$0.4939.6%
10x traffic gap$4.95

GPT-5 Mini has more context, but MiniMax M2 saves $0.49 on the standard workload. At 10x that traffic, the same price gap is about $4.95. 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 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGPT-5 MiniMiniMax M2
Input-heavy / RAG5M input + 500K outputMiniMax M2$2.25$1.77
Balanced workload1M input + 1M outputMiniMax M2$2.25$1.25
Output-heavy chatbot1M input + 5M outputMiniMax M2$10.25$5.25
Cheaper input GPT-5 Mini $0.25 vs $0.255 / 1M

GPT-5 Mini is $0.005 cheaper per 1M input tokens (2% lower; 1.02x difference).

Cheaper output MiniMax M2 $2 vs $1 / 1M

MiniMax M2 is $1 cheaper per 1M output tokens (50% lower; 2x difference).

Larger context GPT-5 Mini 400K vs 204.8K

GPT-5 Mini has 195.2K more context (1.95x larger).

Sample workload MiniMax M2 $1.25 vs $0.76

MiniMax M2 is $0.49 cheaper on the standard workload (39.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-5 Mini Calculating… Estimated API cost
MiniMax M2 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

GPT-5 Mini has the lower input price; MiniMax M2 has the lower output price; GPT-5 Mini offers the larger context window. For the 1M input plus 500K output sample, MiniMax M2 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.25 for GPT-5 Mini and $0.76 for MiniMax M2.

Best Fit

Choose GPT-5 Mini when you care most about lower input-token price, and larger context window.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, MiniMax M2 is estimated at $0.76 vs $1.25 for GPT-5 Mini, saving $0.49 (39.6% lower).
  • MiniMax M2 is $0.49 cheaper on the standard workload (39.6% lower).
  • GPT-5 Mini is $0.005 cheaper per 1M input tokens (2% lower; 1.02x difference).
  • MiniMax M2 is $1 cheaper per 1M output tokens (50% lower; 2x difference).
  • GPT-5 Mini has 195.2K more context (1.95x larger).
Head-to-Head Specs
FeatureGPT-5 Mini
(OpenAI)
MiniMax M2
(MiniMax)
Input Price
prompt tokens per 1M
$0.25$0.255
Completion Price
per 1M tokens
$2$1
Sample Workload Cost
1M input + 500K output
$1.25$0.76
Context Window400K204.8K
Release Date
Popularity#33#62

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMiniMax M2On the standard 1M input plus 500K output workload, MiniMax M2 is estimated at $0.76 vs $1.25 for GPT-5 Mini, saving $0.49 (39.6% lower).
High-volume input processingGPT-5 MiniLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMiniMax M2Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5 MiniA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • gpt-oss-120b (free) can replace GPT-5 Mini when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-5 Mini when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-5 Mini when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace GPT-5 Mini when lower sample workload cost matters most: $0.13.
Larger context near this budget

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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OpenAI catalog

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MiniMax catalog

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

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GPT-5 Mini

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

MiniMax M2

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...