API cost decision in 10 seconds

New🔥Step 3.7 Flash vs MiniMax M2.5

Pick MiniMax M2.5 for lower cost; pick Step 3.7 Flash only if the larger context window matters more.

Page updated: 2026-06-10T21:07:47Z Data confirmed: 2026-06-13T07:08:03Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick MiniMax M2.5 for lower cost; pick Step 3.7 Flash only if the larger context window matters more.

On the standard 1M input plus 500K output workload, MiniMax M2.5 is estimated at $0.6 vs $0.77 for Step 3.7 Flash, saving $0.17 (22.6% lower).

Cost-first pickMiniMax M2.5

Context-first pickStep 3.7 Flash

Sample savings$0.1722.6%

10x traffic gap$1.75

Step 3.7 Flash has more context, but MiniMax M2.5 saves $0.17 on the standard workload. At 10x that traffic, the same price gap is about $1.75. 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 shape	Token mix	Better pick	Step 3.7 Flash	MiniMax M2.5
Input-heavy / RAG	5M input + 500K output	MiniMax M2.5	$1.57	$1.2
Balanced workload	1M input + 1M output	MiniMax M2.5	$1.35	$1.05
Output-heavy chatbot	1M input + 5M output	MiniMax M2.5	$5.95	$4.65

Cheaper input MiniMax M2.5 $0.2 vs $0.15 / 1M

MiniMax M2.5 is $0.05 cheaper per 1M input tokens (25% lower; 1.33x difference).

Cheaper output MiniMax M2.5 $1.15 vs $0.9 / 1M

MiniMax M2.5 is $0.25 cheaper per 1M output tokens (21.7% lower; 1.28x difference).

Larger context Step 3.7 Flash 256K vs 204.8K

Step 3.7 Flash has 51.2K more context (1.25x larger).

Sample workload MiniMax M2.5 $0.77 vs $0.6

MiniMax M2.5 is $0.17 cheaper on the standard workload (22.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Step 3.7 Flash Calculating… Estimated API cost

MiniMax M2.5 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

MiniMax M2.5 has the lower input price; MiniMax M2.5 has the lower output price; Step 3.7 Flash 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 $0.77 for Step 3.7 Flash and $0.6 for MiniMax M2.5.

Best Fit

Choose Step 3.7 Flash when you care most about larger context window.

Choose MiniMax M2.5 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, MiniMax M2.5 is estimated at $0.6 vs $0.77 for Step 3.7 Flash, saving $0.17 (22.6% lower).
MiniMax M2.5 is $0.17 cheaper on the standard workload (22.6% lower).
MiniMax M2.5 is $0.05 cheaper per 1M input tokens (25% lower; 1.33x difference).
MiniMax M2.5 is $0.25 cheaper per 1M output tokens (21.7% lower; 1.28x difference).
Step 3.7 Flash has 51.2K more context (1.25x larger).

Head-to-Head Specs

Feature	New🔥Step 3.7 Flash (StepFun)	MiniMax M2.5 (MiniMax)
Input Price prompt tokens per 1M	$0.2	$0.15
Completion Price per 1M tokens	$1.15	$0.9
Sample Workload Cost 1M input + 500K output	$0.77	$0.6
Context Window	256K	204.8K
Release Date	2026-05-28	2026-02-12
Popularity	#11	#40

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	MiniMax M2.5	On the standard 1M input plus 500K output workload, MiniMax M2.5 is estimated at $0.6 vs $0.77 for Step 3.7 Flash, saving $0.17 (22.6% lower).
High-volume input processing	MiniMax M2.5	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	MiniMax M2.5	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Step 3.7 Flash	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Step 3.5 Flash can replace Step 3.7 Flash when lower sample workload cost matters most: $0.24.
MiniMax M2.5 (free) can replace MiniMax M2.5 when lower sample workload cost matters most: $0.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.25 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
MiMo-V2.5 · Xiaomi · #3
MiniMax M3 · MiniMax · #4

Cheaper alternatives

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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

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StepFun catalog

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MiniMax catalog

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

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Step 3.7 Flash

Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters...

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...