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Mercury 2.5 vs MiniMax M2

Mercury 2.5

Inception

61#215
vs
MiniMax M2

MiniMax

71#163
Signal-by-Signal Comparison
SignalMercury 2.5DeltaMiniMax M2
Capabilities
67
--
67
Benchmarks
60
-11
70
Pricing
100
+1
99
Context window size
86
+2
84
Recency
100
+26
74
Output Capacity
77
-5
82
Overall Result
3 wins
of 6
2 wins
Mercury 2.5 wins 3 of 6 signals

Score History

Score History (30 data points)
Mercury 2.5MiniMax M2
Mercury 2.5

61.3

current score

Leader

MiniMax M2

right now

MiniMax M2

71

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Mercury 2.5

Inception

Best Value
Per request$0.000115
Daily$0.38
Monthly$11.50
Annual$138.00

MiniMax M2

MiniMax

Per request$0.000765
Daily$2.55
Monthly$76.50
Annual$918.00

Mercury 2.5 saves you $65.00/month

That's $780.00/year compared to MiniMax M2 at your current usage level of 100K calls/month.

85% cheaper
Choose Mercury 2.5 for cost optimization

Mercury 2.5 pricing:
Input:$0.04/M tokens
Output:$0.15/M tokens
MiniMax M2 pricing:
Input:$0.26/M tokens
Output:$1.02/M tokens
Mercury 2.5

Inception

61

Composite Score

Winner
MiniMax M2

MiniMax

71

Composite Score

Signal-by-Signal Comparison
MetricMercury 2.5MiniMax M2Winner
Overall Score
61
71
MiniMax M2
Rank#215#163
MiniMax M2
Quality Rank#215#163
MiniMax M2
Adoption Rank#215#163
MiniMax M2
Parameters------
Context Window260K205K
Mercury 2.5
Pricing$0.04/$0.15/M$0.26/$1.02/M--
Signal Scores
Capabilities
67
67
Mercury 2.5
Benchmarks
60
70
MiniMax M2
Pricing
100
99
Mercury 2.5
Context window size
86
84
Mercury 2.5
Recency
100
74
Mercury 2.5
Output Capacity
77
82
MiniMax M2
Benchmark Head-to-Head(2 benchmarks)
Mercury 2.5: 1MiniMax M2: 0
Mercury 2.5
MiniMax M2
Normalized 0-100%
MMLU-Pro
-82%
Arena Elo
13471346
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Mercury 2.5Competitive

Scores 61/100 (rank #215), placing it in the top 26% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
MiniMax M2Strong Performer

Scores 71/100 (rank #163), placing it in the top 44% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

MiniMax M2 has a 10-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Mercury 2.5 when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving

Choose MiniMax M2 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Mercury 2.5Best Value
Input cost$0.04/M tokens
Output cost$0.15/M tokens
Cost per quality point$0.003
Est. monthly (1M tokens/day)$2.85
MiniMax M2
Input cost$0.26/M tokens
Output cost$1.02/M tokens
Cost per quality point$0.018
Est. monthly (1M tokens/day)$19.13

Mercury 2.5 offers 85% better value per quality point. At 1M tokens/day, you'd spend $2.85/month with Mercury 2.5 vs $19.13/month with MiniMax M2 - a $16.27 monthly difference.

Latency & Speed
Mercury 2.5Faster
Speed score0/100
MiniMax M2
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Mercury 2.5

Customer support chatbot

Suitable for user-facing chat with competitive response times. Mercury 2.5 also offers lower per-token costs for high-volume support

Mercury 2.5

Long document analysis

Larger context window (260K tokens) can process longer documents, contracts, and research papers in a single pass

Mercury 2.5

Batch data extraction

Lower output pricing ($0.15/M) reduces costs when processing thousands of records daily

Mercury 2.5

Creative writing & content

Higher overall composite score (71/100) correlates with better nuance, coherence, and style in long-form content

MiniMax M2
Which Should You Choose?
Our recommendation:
MiniMax M2

MiniMax M2 has a moderate advantage with a 9.700000000000003-point lead in composite score. It wins on more signal dimensions, but Mercury 2.5 has specific strengths that could make it the better choice for certain workflows.

by Inception

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 85% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale
MiniMax M2
Recommended

by MiniMax

Consider for specialized use cases.

Capability Comparison
CapabilityMercury 2.5MiniMax M2
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Mercury 2.5

Inception

Best Value
$0.2520
estimated monthly cost

MiniMax M2

MiniMax

$1.68
estimated monthly cost

Mercury 2.5 saves you $1.43/month

That's 85% cheaper than MiniMax M2 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterMercury 2.5MiniMax M2
Context Window260K205K
Max Output Tokens65,536131,072
Open SourceNoYes
CreatedSep 8, 2026Oct 23, 2025
Last updated: 56m ago

相关对比

Mercury 2.5 vs MiniMax M2 (2026) | LM Market Cap