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MiniMax M1 vs Muse Spark 1.3

MiniMax M1

MiniMax

71#163
vs
Signal-by-Signal Comparison
SignalMiniMax M1DeltaMuse Spark 1.3
Capabilities
50
-50
100
Benchmarks
71
+71
0
Pricing
98
+2
96
Context window size
95
0
96
Recency
49
-51
100
Output Capacity
74
-22
96
Overall Result
2 wins
of 6
4 wins
Muse Spark 1.3 wins 4 of 6 signals

Score History

Score History (32 data points)
MiniMax M1Muse Spark 1.3
MiniMax M1

70.8

current score

Leader

Muse Spark 1.3

right now

Muse Spark 1.3

80.9

current score

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

MiniMax M1

MiniMax

Best Value
Per request$0.001500
Daily$5.00
Monthly$150.00
Annual$1800.00

Muse Spark 1.3

meta

Per request$0.003375
Daily$11.25
Monthly$337.50
Annual$4050.00

MiniMax M1 saves you $187.50/month

That's $2250.00/year compared to Muse Spark 1.3 at your current usage level of 100K calls/month.

56% cheaper
Choose MiniMax M1 for cost optimization

MiniMax M1 pricing:
Input:$0.40/M tokens
Output:$2.20/M tokens
Muse Spark 1.3 pricing:
Input:$1.25/M tokens
Output:$4.25/M tokens
MiniMax M1

MiniMax

71

Composite Score

Winner
Muse Spark 1.3

meta

81

Composite Score

Signal-by-Signal Comparison
MetricMiniMax M1Muse Spark 1.3Winner
Overall Score
71
81
Muse Spark 1.3
Rank#163#83
Muse Spark 1.3
Quality Rank#163#83
Muse Spark 1.3
Adoption Rank#163#83
Muse Spark 1.3
Parameters------
Context Window1000K1049K
Muse Spark 1.3
Pricing$0.40/$2.20/M$1.25/$4.25/M--
Signal Scores
Capabilities
50
100
Muse Spark 1.3
Benchmarks
71
--
MiniMax M1
Pricing
98
96
MiniMax M1
Context window size
95
96
Muse Spark 1.3
Recency
49
100
Muse Spark 1.3
Output Capacity
74
96
Muse Spark 1.3
Benchmark Head-to-Head(2 benchmarks)
MiniMax M1: 0Muse Spark: 0
MiniMax M1
Muse Spark
Normalized 0-100%
MMLU-Pro
81.1%-
Arena Elo
1364-
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 M1Strong 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
Muse Spark 1.3Strong Performer

Scores 81/100 (rank #83), placing it in the top 72% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Muse Spark 1.3 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 MiniMax M1 when you need:

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

Choose Muse Spark 1.3 when you need:

  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
MiniMax M1Best Value
Input cost$0.40/M tokens
Output cost$2.20/M tokens
Cost per quality point$0.037
Est. monthly (1M tokens/day)$39.00
Muse Spark 1.3
Input cost$1.25/M tokens
Output cost$4.25/M tokens
Cost per quality point$0.068
Est. monthly (1M tokens/day)$82.50

MiniMax M1 offers 53% better value per quality point. At 1M tokens/day, you'd spend $39.00/month with MiniMax M1 vs $82.50/month with Muse Spark 1.3 - a $43.50 monthly difference.

Latency & Speed
MiniMax M1Faster
Speed score0/100
Muse Spark 1.3
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 M1

Customer support chatbot

Suitable for user-facing chat with competitive response times. MiniMax M1 also offers lower per-token costs for high-volume support

MiniMax M1

Long document analysis

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

Muse Spark 1.3

Batch data extraction

Lower output pricing ($2.20/M) reduces costs when processing thousands of records daily

MiniMax M1

Creative writing & content

Higher overall composite score (81/100) correlates with better nuance, coherence, and style in long-form content

Muse Spark 1.3

Image understanding & OCR

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

Muse Spark 1.3
Which Should You Choose?
Our recommendation:
Muse Spark 1.3

Muse Spark 1.3 clearly outperforms MiniMax M1 with a significant 10.100000000000009-point lead. For most general use cases, Muse Spark 1.3 is the stronger choice. However, MiniMax M1 may still excel in niche scenarios.

by MiniMax

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 53% 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
Muse Spark 1.3
Recommended

by meta

Consider for specialized use cases.

Capability Comparison
CapabilityMiniMax M1Muse Spark 1.3
Vision (Image Input)differs
Function Calling
Streaming
JSON Modediffers
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

MiniMax M1

MiniMax

Best Value
$3.36
estimated monthly cost

Muse Spark 1.3

meta

$7.35
estimated monthly cost

MiniMax M1 saves you $3.99/month

That's 54% cheaper than Muse Spark 1.3 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 M1Muse Spark 1.3
Context Window1M1.0M
Max Output Tokens40,000943,718
Open SourceNoNo
CreatedJun 17, 2025Sep 2, 2026
Last updated: 58m ago

相关对比

MiniMax M1 vs Muse Spark 1.3 (2026) | LM Market Cap