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MiniMax M2 vs MiniMax M2.1

MiniMax M2

MiniMax

60#151
vs
MiniMax M2.1

MiniMax

60#150
Signal-by-Signal Comparison
SignalMiniMax M2DeltaMiniMax M2.1
Capabilities
67
--
67
Benchmarks
61
--
61
Pricing
99
+0
99
Context window size
76
--
76
Recency
85
-11
96
Output Capacity
85
--
85
Overall Result
1 wins
of 6
1 wins
It's a tie - both models win 1 signals each

Score History

Score History (22 data points)
MiniMax M2MiniMax M2.1
MiniMax M2

59.8

current score

Leader

Tied

right now

MiniMax M2.1

59.8

current score

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

MiniMax M2

MiniMax

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

MiniMax M2.1

MiniMax

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

MiniMax M2 saves you $13.50/month

That's $162.00/year compared to MiniMax M2.1 at your current usage level of 100K calls/month.

15% cheaper
Choose MiniMax M2 for cost optimization

MiniMax M2 pricing:
Input:$0.26/M tokens
Output:$1.02/M tokens
MiniMax M2.1 pricing:
Input:$0.30/M tokens
Output:$1.20/M tokens
Tie
MiniMax M2

MiniMax

60

Composite Score

Tie
MiniMax M2.1

MiniMax

60

Composite Score

Signal-by-Signal Comparison
MetricMiniMax M2MiniMax M2.1Winner
Overall Score
60
60
--
Rank#151#150
MiniMax M2.1
Quality Rank#151#150
MiniMax M2.1
Adoption Rank#151#150
MiniMax M2.1
Parameters------
Context Window205K205K--
Pricing$0.26/$1.02/M$0.30/$1.20/M--
Signal Scores
Capabilities
67
67
MiniMax M2
Benchmarks
61
61
MiniMax M2
Pricing
99
99
MiniMax M2
Context window size
76
76
MiniMax M2
Recency
85
96
MiniMax M2.1
Output Capacity
85
85
MiniMax M2
Benchmark Head-to-Head(2 benchmarks)
MiniMax M2: 02 tiesMiniMax M2.1: 0
MiniMax M2
MiniMax M2.1
Normalized 0-100%
SWE-bench Verified
61%61%
Arena Elo
13461346
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 M2Competitive

Scores 60/100 (rank #151), placing it in the top 48% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
MiniMax M2.1Competitive

Scores 60/100 (rank #150), placing it in the top 49% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-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 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 M2.1 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
MiniMax M2Best Value
Input cost$0.26/M tokens
Output cost$1.02/M tokens
Cost per quality point$0.021
Est. monthly (1M tokens/day)$19.13
MiniMax M2.1
Input cost$0.30/M tokens
Output cost$1.20/M tokens
Cost per quality point$0.025
Est. monthly (1M tokens/day)$22.50

MiniMax M2 offers 15% better value per quality point. At 1M tokens/day, you'd spend $19.13/month with MiniMax M2 vs $22.50/month with MiniMax M2.1 - a $3.38 monthly difference.

Latency & Speed
MiniMax M2Faster
Speed score0/100
MiniMax M2.1
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

Customer support chatbot

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

MiniMax M2

Long document analysis

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

MiniMax M2

Batch data extraction

Lower output pricing ($1.02/M) reduces costs when processing thousands of records daily

MiniMax M2

Creative writing & content

Higher overall composite score (60/100) correlates with better nuance, coherence, and style in long-form content

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

MiniMax M2 and MiniMax M2.1 are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

MiniMax M2
Recommended

by MiniMax

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 15% 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

by MiniMax

Consider for specialized use cases.

Capability Comparison
CapabilityMiniMax M2MiniMax M2.1
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

MiniMax

Best Value
$1.68
estimated monthly cost

MiniMax M2.1

MiniMax

$1.98
estimated monthly cost

MiniMax M2 saves you $0.2970/month

That's 15% 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 M2MiniMax M2.1
Context Window205K205K
Max Output Tokens131,072131,072
Open SourceYesYes
CreatedOct 23, 2025Dec 23, 2025
Last updated: 5m ago

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