API cost decision in 10 seconds

Mercury 2 vs MiniMax M2

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

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

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

On the standard 1M input plus 500K output workload, Mercury 2 is estimated at $0.63 vs $0.76 for MiniMax M2, saving $0.13 (17.2% lower).

Cost-first pickMercury 2
Context-first pickMiniMax M2
Sample savings$0.1317.2%
10x traffic gap$1.3

MiniMax M2 has more context, but Mercury 2 saves $0.13 on the standard workload. At 10x that traffic, the same price gap is about $1.3. 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 shapeToken mixBetter pickMercury 2MiniMax M2
Input-heavy / RAG 5M input + 500K output Mercury 2 $1.63 $1.77
Balanced workload 1M input + 1M output Mercury 2 $1 $1.25
Output-heavy chatbot 1M input + 5M output Mercury 2 $4 $5.25
Cheaper inputMercury 2$0.25 vs $0.26 / 1M
Cheaper outputMercury 2$0.75 vs $1 / 1M
Larger contextMiniMax M2128K vs 204.8K
Sample workloadMercury 2$0.63 vs $0.76

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Mercury 2Calculating…Estimated API cost
MiniMax M2Calculating…Estimated API cost
Cheaper for this workloadCalculating…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, and MiniMax M2 offers the larger context window.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.63 for Mercury 2 and $0.76 for MiniMax M2.

Best Fit

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

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

Head-to-Head Specs
FeatureMercury 2
(Inception)		MiniMax M2
(MiniMax)
Input Price
prompt tokens per 1M		$0.25$0.26
Completion Price
per 1M tokens		$0.75$1
Sample Workload Cost
1M input + 500K output		$0.63$0.76
Context Window128K204.8K
Release Date2026-03-042025-10-23
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

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,...

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMercury 2On the standard 1M input plus 500K output workload, Mercury 2 is estimated at $0.63 vs $0.76 for MiniMax M2, saving $0.13 (17.2% lower).
High-volume input processingMercury 2Lower prompt-token price matters most when prompts or retrieved passages dominate the bill.
Long responses and chatbotsMercury 2Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMiniMax M2A larger context window leaves more room for retrieved passages and source files.