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Mercury 2 vs MiniMax M1

Detailed technical comparison between Mercury 2 (Inception AI) and MiniMax M1 (MiniMax). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Mercury 2: 0 WinsvsMiniMax M1: 6 Wins
Context Leader

MiniMax M1

1,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Mercury 2

$0.25 / MTok
Inception AIactive

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...

View Mercury 2 Full Specs โ†’
MiniMaxactive

MiniMax M1

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...

View MiniMax M1 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationMercury 2MiniMax M1
ProviderInception AIMiniMax
Context Window128,000 tokens1,000,000 tokens๐Ÿ†
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityStable GA (est.)Beta Access (est.)
API AvailableYesYes
Released Date2026-03-042025-06-17

API Pricing Comparison

Input Price per Million Tokens

Mercury 2

$0.25

MiniMax M1

$0.55

Output Price per Million Tokens

Mercury 2

$0.75

MiniMax M1

$2.20

๐Ÿ’ก Cost Ratio: Mercury 2 is 2.2x cheaper per input token than MiniMax M1.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
79.2%vs86.8%+7.6% MiniMax M1
Mercury 2
MiniMax M1 ๐Ÿ†
HumanEvalPython coding & logic synthesis
77.4%vs86.0%+8.6% MiniMax M1
Mercury 2
MiniMax M1 ๐Ÿ†
MATHComplex mathematical problem solving
54.6%vs67.2%+12.6% MiniMax M1
Mercury 2
MiniMax M1 ๐Ÿ†
GPQAGraduate-level expert reasoning
40.0%vs48.6%+8.6% MiniMax M1
Mercury 2
MiniMax M1 ๐Ÿ†
HellaSwagCommonsense reasoning and inference
82.2%vs87.8%+5.6% MiniMax M1
Mercury 2
MiniMax M1 ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.5%vs9.0%+0.6% MiniMax M1
Mercury 2
MiniMax M1 ๐Ÿ†

Mercury 2 Quirks & Gotchas

No developer gotchas reported.

MiniMax M1 Quirks & Gotchas

No developer gotchas reported.

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