API cost decision in 10 seconds

MiniMax M2.7 vs Mercury 2

Pick Mercury 2 for lower cost; pick MiniMax M2.7 only if the larger context window matters more.

Pricing data updated: 2026-05-26T11:08:00Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Mercury 2 for lower cost; pick MiniMax M2.7 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Mercury 2 is estimated at $0.62 vs $0.88 for MiniMax M2.7, saving $0.25 (28.9% lower).

Cost-first pickMercury 2

Context-first pickMiniMax M2.7

Sample savings$0.2528.9%

10x traffic gap$2.54

MiniMax M2.7 has more context, but Mercury 2 saves $0.25 on the standard workload. At 10x that traffic, the same price gap is about $2.54. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Mercury 2 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	MiniMax M2.7	Mercury 2
Input-heavy / RAG	5M input + 500K output	Mercury 2	$2	$1.62
Balanced workload	1M input + 1M output	Mercury 2	$1.48	$1
Output-heavy chatbot	1M input + 5M output	Mercury 2	$6.28	$4

Cheaper input Mercury 2 $0.279 vs $0.25 / 1M

Mercury 2 is $0.03 cheaper per 1M input tokens (10.4% lower; 1.12x difference).

Cheaper output Mercury 2 $1.2 vs $0.75 / 1M

Mercury 2 is $0.45 cheaper per 1M output tokens (37.5% lower; 1.6x difference).

Larger context MiniMax M2.7 204.8K vs 128K

MiniMax M2.7 has 76.8K more context (1.6x larger).

Sample workload Mercury 2 $0.88 vs $0.62

Mercury 2 is $0.25 cheaper on the standard workload (28.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

MiniMax M2.7 Calculating… Estimated API cost

Mercury 2 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

Mercury 2 has the lower input price; Mercury 2 has the lower output price; MiniMax M2.7 offers the larger context window. For the 1M input plus 500K output sample, Mercury 2 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.88 for MiniMax M2.7 and $0.62 for Mercury 2.

Best Fit

Choose MiniMax M2.7 when you care most about larger context window.

Choose Mercury 2 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, Mercury 2 is estimated at $0.62 vs $0.88 for MiniMax M2.7, saving $0.25 (28.9% lower).
Mercury 2 is $0.25 cheaper on the standard workload (28.9% lower).
Mercury 2 is $0.03 cheaper per 1M input tokens (10.4% lower; 1.12x difference).
Mercury 2 is $0.45 cheaper per 1M output tokens (37.5% lower; 1.6x difference).
MiniMax M2.7 has 76.8K more context (1.6x larger).

Head-to-Head Specs

Feature	MiniMax M2.7 (MiniMax)	Mercury 2 (Inception)
Input Price prompt tokens per 1M	$0.279	$0.25
Completion Price per 1M tokens	$1.2	$0.75
Sample Workload Cost 1M input + 500K output	$0.88	$0.62
Context Window	204.8K	128K
Release Date	2026-03-18	2026-03-04

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Mercury 2	On the standard 1M input plus 500K output workload, Mercury 2 is estimated at $0.62 vs $0.88 for MiniMax M2.7, saving $0.25 (28.9% lower).
High-volume input processing	Mercury 2	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Mercury 2	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	MiniMax M2.7	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

MiniMax M2.5 (free) can replace MiniMax M2.7 when lower sample workload cost matters most: $0.
MiniMax M2.5 can replace MiniMax M2.7 when lower sample workload cost matters most: $0.72.
MiniMax-01 can replace MiniMax M2.7 when lower sample workload cost matters most: $0.75.
MiniMax M2 can replace MiniMax M2.7 when lower sample workload cost matters most: $0.76.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.

Popular competitors

No popular competitor is currently available.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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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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MiniMax catalog

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

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Inception catalog

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

Open Inception models

MiniMax M2.7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...

Mercury 2

Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...