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MiniMax M2 vs Muse Spark 1.2 Contributor

MiniMax M2

MiniMax

71#162
vs
Signal-by-Signal Comparison
SignalMiniMax M2DeltaMuse Spark 1.2 Contributor
Capabilities
67
-33
100
Benchmarks
70
+70
0
Pricing
99
-1
100
Context window size
84
-11
96
Recency
72
-28
100
Output Capacity
82
-14
96
Overall Result
1 wins
of 6
5 wins
Muse Spark 1.2 Contributor wins 5 of 6 signals

Score History

Score History (32 data points)
MiniMax M2Muse Spark 1.2 Contributor
MiniMax M2

71

current score

Leader

MiniMax M2

right now

Muse Spark 1.2 Contributor

40

current score

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

MiniMax M2

MiniMax

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

Muse Spark 1.2 Contributor

meta

Best Value
Per request$0.000200
Daily$0.67
Monthly$20.00
Annual$240.00

Muse Spark 1.2 Contributor saves you $56.50/month

That's $678.00/year compared to MiniMax M2 at your current usage level of 100K calls/month.

74% cheaper
Choose Muse Spark 1.2 Contributor for cost optimization

MiniMax M2 pricing:
Input:$0.26/M tokens
Output:$1.02/M tokens
Muse Spark 1.2 Contributor pricing:
Input:$0.10/M tokens
Output:$0.20/M tokens
Winner
MiniMax M2

MiniMax

71

Composite Score

Muse Spark 1.2 Contributor

meta

40

Composite Score

Signal-by-Signal Comparison
MetricMiniMax M2Muse Spark 1.2 ContributorWinner
Overall Score
71
40
MiniMax M2
Rank#162#268
MiniMax M2
Quality Rank#162#268
MiniMax M2
Adoption Rank#162#268
MiniMax M2
Parameters------
Context Window205K1049K
Muse Spark 1.2 Contributor
Pricing$0.26/$1.02/M$0.10/$0.20/M--
Signal Scores
Capabilities
67
100
Muse Spark 1.2 Contributor
Benchmarks
70
--
MiniMax M2
Pricing
99
100
Muse Spark 1.2 Contributor
Context window size
84
96
Muse Spark 1.2 Contributor
Recency
72
100
Muse Spark 1.2 Contributor
Output Capacity
82
96
Muse Spark 1.2 Contributor
Benchmark Head-to-Head(2 benchmarks)
MiniMax M2: 0Muse Spark: 0
MiniMax M2
Muse Spark
Normalized 0-100%
MMLU-Pro
82%-
Arena Elo
1346-
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 M2Strong Performer

Scores 71/100 (rank #162), placing it in the top 44% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Muse Spark 1.2 ContributorEntry Level

Scores 40/100 (rank #268), placing it in the top 8% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

MiniMax M2 has a 31-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

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 Muse Spark 1.2 Contributor when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1049K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
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
Muse Spark 1.2 ContributorBest Value
Input cost$0.10/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$4.50

Muse Spark 1.2 Contributor offers 76% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with Muse Spark 1.2 Contributor vs $19.13/month with MiniMax M2 - a $14.63 monthly difference.

Latency & Speed
MiniMax M2Faster
Speed score0/100
Muse Spark 1.2 Contributor
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. Muse Spark 1.2 Contributor also offers lower per-token costs for high-volume support

MiniMax M2

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Muse Spark 1.2 Contributor

Batch data extraction

Lower output pricing ($0.20/M) reduces costs when processing thousands of records daily

Muse Spark 1.2 Contributor

Creative writing & content

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

MiniMax M2

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Muse Spark 1.2 Contributor
Which Should You Choose?
Our recommendation:
MiniMax M2

MiniMax M2 clearly outperforms Muse Spark 1.2 Contributor with a significant 31-point lead. For most general use cases, MiniMax M2 is the stronger choice. However, Muse Spark 1.2 Contributor may still excel in niche scenarios.

MiniMax M2
Recommended

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

by meta

  • Choose for Cost - 76% lower pricing; better value at scale
Capability Comparison
CapabilityMiniMax M2Muse Spark 1.2 Contributor
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

MiniMax M2

MiniMax

$1.68
estimated monthly cost

Muse Spark 1.2 Contributor

meta

Best Value
$0.4200
estimated monthly cost

Muse Spark 1.2 Contributor saves you $1.26/month

That's 75% 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
ParameterMiniMax M2Muse Spark 1.2 Contributor
Context Window205K1.0M
Max Output Tokens131,072943,718
Open SourceYesNo
CreatedOct 23, 2025Aug 21, 2026
Last updated: 2m ago

相关对比

MiniMax M2 vs Muse Spark 1.2 Contributor (2026) | LM Market Cap