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MiniMax M3 vs Muse Spark 1.1

MiniMax M3

MiniMax

74#90
vs
Signal-by-Signal Comparison
SignalMiniMax M3DeltaMuse Spark 1.1
Capabilities
83
-17
100
Benchmarks
73
-6
79
Pricing
99
+3
96
Context window size
86
--
86
Recency
100
--
100
Output Capacity
95
+75
20
Overall Result
2 wins
of 6
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (7 data points)
MiniMax M3Muse Spark 1.1
MiniMax M3

73.9

current score

Leader

Muse Spark 1.1

right now

Muse Spark 1.1

80.5

current score

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

MiniMax M3

MiniMax

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

Muse Spark 1.1

meta

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

MiniMax M3 saves you $247.50/month

That's $2970.00/year compared to Muse Spark 1.1 at your current usage level of 100K calls/month.

73% cheaper
Choose MiniMax M3 for cost optimization

MiniMax M3 pricing:
Input:$0.30/M tokens
Output:$1.20/M tokens
Muse Spark 1.1 pricing:
Input:$1.25/M tokens
Output:$4.25/M tokens
MiniMax M3

MiniMax

74

Composite Score

Winner
Muse Spark 1.1

meta

81

Composite Score

Signal-by-Signal Comparison
MetricMiniMax M3Muse Spark 1.1Winner
Overall Score
74
81
Muse Spark 1.1
Rank#90#55
Muse Spark 1.1
Quality Rank#90#55
Muse Spark 1.1
Adoption Rank#90#55
Muse Spark 1.1
Parameters------
Context Window1049K1049K--
Pricing$0.30/$1.20/M$1.25/$4.25/M--
Signal Scores
Capabilities
83
100
Muse Spark 1.1
Benchmarks
73
79
Muse Spark 1.1
Pricing
99
96
MiniMax M3
Context window size
86
86
MiniMax M3
Recency
100
100
MiniMax M3
Output Capacity
95
20
MiniMax M3
Benchmark Head-to-Head(1 benchmarks)
MiniMax M3: 0Muse Spark: 1
MiniMax M3
Muse Spark
Normalized 0-100%
Arena Elo
14451493
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 M3Strong Performer

Scores 74/100 (rank #90), placing it in the top 69% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Muse Spark 1.1Strong Performer

Scores 81/100 (rank #55), placing it in the top 81% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Muse Spark 1.1 has a 7-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 M3 when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Muse Spark 1.1 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
MiniMax M3Best Value
Input cost$0.30/M tokens
Output cost$1.20/M tokens
Cost per quality point$0.020
Est. monthly (1M tokens/day)$22.50
Muse Spark 1.1
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 M3 offers 73% better value per quality point. At 1M tokens/day, you'd spend $22.50/month with MiniMax M3 vs $82.50/month with Muse Spark 1.1 - a $60.00 monthly difference.

Latency & Speed
MiniMax M3Faster
Speed score0/100
Muse Spark 1.1
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 M3

Customer support chatbot

Suitable for user-facing chat with competitive response times. MiniMax M3 also offers lower per-token costs for high-volume support

MiniMax M3

Long document analysis

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

MiniMax M3

Batch data extraction

Lower output pricing ($1.20/M) reduces costs when processing thousands of records daily

MiniMax M3

Creative writing & content

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

Muse Spark 1.1

Image understanding & OCR

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

MiniMax M3
Which Should You Choose?
Our recommendation:
Muse Spark 1.1

Muse Spark 1.1 has a moderate advantage with a 6.599999999999994-point lead in composite score. It wins on more signal dimensions, but MiniMax M3 has specific strengths that could make it the better choice for certain workflows.

by MiniMax

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 73% 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 1.1
Recommended

by meta

Consider for specialized use cases.

Capability Comparison
CapabilityMiniMax M3Muse Spark 1.1
Vision (Image Input)
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 M3

MiniMax

Best Value
$1.98
estimated monthly cost

Muse Spark 1.1

meta

$7.35
estimated monthly cost

MiniMax M3 saves you $5.37/month

That's 73% cheaper than Muse Spark 1.1 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 M3Muse Spark 1.1
Context Window1.0M1.0M
Max Output Tokens512,000--
Open SourceYesNo
CreatedMay 31, 2026Jul 16, 2026
Last updated: 27m ago

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