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MiniMax M2.1 vs MiniMax M2.5

MiniMax M2.1

MiniMax

71#154
vs
MiniMax M2.5

MiniMax

72#149
Signal-by-Signal Comparison
SignalMiniMax M2.1DeltaMiniMax M2.5
Capabilities
67
--
67
Benchmarks
70
-2
73
Pricing
99
0
99
Context window size
84
--
84
Recency
87
-9
96
Output Capacity
82
+0
82
Overall Result
1 wins
of 6
3 wins
MiniMax M2.5 wins 3 of 6 signals

Score History

Score History (29 data points)
MiniMax M2.1MiniMax M2.5
MiniMax M2.1

71

current score

Leader

MiniMax M2.5

right now

MiniMax M2.5

71.6

current score

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

MiniMax M2.1

MiniMax

Per request$0.000900
Daily$3.00
Monthly$90.00
Annual$1080.00

MiniMax M2.5

MiniMax

Best Value
Per request$0.000810
Daily$2.70
Monthly$81.00
Annual$972.00

MiniMax M2.5 saves you $9.00/month

That's $108.00/year compared to MiniMax M2.1 at your current usage level of 100K calls/month.

10% cheaper
Choose MiniMax M2.5 for cost optimization

MiniMax M2.1 pricing:
Input:$0.30/M tokens
Output:$1.20/M tokens
MiniMax M2.5 pricing:
Input:$0.27/M tokens
Output:$1.08/M tokens
MiniMax M2.1

MiniMax

71

Composite Score

Winner
MiniMax M2.5

MiniMax

72

Composite Score

Signal-by-Signal Comparison
MetricMiniMax M2.1MiniMax M2.5Winner
Overall Score
71
72
MiniMax M2.5
Rank#154#149
MiniMax M2.5
Quality Rank#154#149
MiniMax M2.5
Adoption Rank#154#149
MiniMax M2.5
Parameters------
Context Window205K205K--
Pricing$0.30/$1.20/M$0.27/$1.08/M--
Signal Scores
Capabilities
67
67
MiniMax M2.1
Benchmarks
70
73
MiniMax M2.5
Pricing
99
99
MiniMax M2.5
Context window size
84
84
MiniMax M2.1
Recency
87
96
MiniMax M2.5
Output Capacity
82
82
MiniMax M2.1
Benchmark Head-to-Head(2 benchmarks)
MiniMax M2.1: 1MiniMax M2.5: 0
MiniMax M2.1
MiniMax M2.5
Normalized 0-100%
MMLU-Pro
88%80.1%
Arena Elo
-1390
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.

MiniMax M2.1Strong Performer

Scores 71/100 (rank #154), placing it in the top 47% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
MiniMax M2.5Strong Performer

Scores 72/100 (rank #149), placing it in the top 49% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose MiniMax M2.1 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose MiniMax M2.5 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
MiniMax M2.1
Input cost$0.30/M tokens
Output cost$1.20/M tokens
Cost per quality point$0.021
Est. monthly (1M tokens/day)$22.50
MiniMax M2.5Best Value
Input cost$0.27/M tokens
Output cost$1.08/M tokens
Cost per quality point$0.019
Est. monthly (1M tokens/day)$20.25

MiniMax M2.5 offers 10% better value per quality point. At 1M tokens/day, you'd spend $20.25/month with MiniMax M2.5 vs $22.50/month with MiniMax M2.1 - a $2.25 monthly difference.

Latency & Speed
MiniMax M2.1Faster
Speed score0/100
MiniMax M2.5
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

MiniMax M2.1

Customer support chatbot

Suitable for user-facing chat with competitive response times. MiniMax M2.5 also offers lower per-token costs for high-volume support

MiniMax M2.1

Long document analysis

Larger context window (205K tokens) can process longer documents, contracts, and research papers in a single pass

MiniMax M2.1

Batch data extraction

Lower output pricing ($1.08/M) reduces costs when processing thousands of records daily

MiniMax M2.5

Creative writing & content

Higher overall composite score (72/100) correlates with better nuance, coherence, and style in long-form content

MiniMax M2.5
Which Should You Choose?
Our recommendation:
MiniMax M2.5

MiniMax M2.1 and MiniMax M2.5 are extremely close in overall performance (only 0.5999999999999943 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by MiniMax

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • 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 M2.5
Recommended

by MiniMax

  • Choose for Cost - 10% lower pricing; better value at scale
Capability Comparison
CapabilityMiniMax M2.1MiniMax M2.5
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)

MiniMax M2.1

MiniMax

$1.98
estimated monthly cost

MiniMax M2.5

MiniMax

Best Value
$1.78
estimated monthly cost

MiniMax M2.5 saves you $0.1980/month

That's 10% cheaper than MiniMax M2.1 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
ParameterMiniMax M2.1MiniMax M2.5
Context Window205K205K
Max Output Tokens131,072128,000
Open SourceYesYes
CreatedDec 23, 2025Feb 12, 2026
Last updated: 41m ago

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