API cost decision in 10 seconds

Mercury 2 vs MiniMax M2-her

Pick Mercury 2 when budget and context both matter.

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 when budget and context both matter.

On the standard 1M input plus 500K output workload, Mercury 2 is estimated at $0.62 vs $0.9 for MiniMax M2-her, saving $0.27 (30.6% lower).

Cost-first pickMercury 2

Context-first pickMercury 2

Sample savings$0.2730.6%

10x traffic gap$2.75

Mercury 2 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.75. 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	Mercury 2	MiniMax M2-her
Input-heavy / RAG	5M input + 500K output	Mercury 2	$1.62	$2.1
Balanced workload	1M input + 1M output	Mercury 2	$1	$1.5
Output-heavy chatbot	1M input + 5M output	Mercury 2	$4	$6.3

Cheaper input Mercury 2 $0.25 vs $0.3 / 1M

Mercury 2 is $0.05 cheaper per 1M input tokens (16.7% lower; 1.2x difference).

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

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

Larger context Mercury 2 128K vs 65.54K

Mercury 2 has 62.46K more context (1.95x larger).

Sample workload Mercury 2 $0.62 vs $0.9

Mercury 2 is $0.27 cheaper on the standard workload (30.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Mercury 2 Calculating… Estimated API cost

MiniMax M2-her 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; Mercury 2 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 $0.62 for Mercury 2 and $0.9 for MiniMax M2-her.

Best Fit

Choose Mercury 2 when you care most about lower input-token price, lower output-token price, and larger context window.

Choose MiniMax M2-her when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes

On the standard 1M input plus 500K output workload, Mercury 2 is estimated at $0.62 vs $0.9 for MiniMax M2-her, saving $0.27 (30.6% lower).
Mercury 2 is $0.27 cheaper on the standard workload (30.6% lower).
Mercury 2 is $0.05 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
Mercury 2 is $0.45 cheaper per 1M output tokens (37.5% lower; 1.6x difference).
Mercury 2 has 62.46K more context (1.95x larger).

Head-to-Head Specs

Feature	Mercury 2 (Inception)	MiniMax M2-her (MiniMax)
Input Price prompt tokens per 1M	$0.25	$0.3
Completion Price per 1M tokens	$0.75	$1.2
Sample Workload Cost 1M input + 500K output	$0.62	$0.9
Context Window	128K	65.54K
Release Date	2026-03-04	2026-01-23

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 $0.9 for MiniMax M2-her, saving $0.27 (30.6% 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	Mercury 2	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-her when lower sample workload cost matters most: $0.
MiniMax M2.5 can replace MiniMax M2-her when lower sample workload cost matters most: $0.72.
MiniMax-01 can replace MiniMax M2-her when lower sample workload cost matters most: $0.75.
MiniMax M2 can replace MiniMax M2-her 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

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Inception catalog

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

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MiniMax catalog

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

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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...

MiniMax M2-her

MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message...