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MiniMax M2.7 vs Qwen3.8 Max

MiniMax M2.7

MiniMax

78#105
vs
Qwen3.8 Max

Alibaba

79#104
Signal-by-Signal Comparison
SignalMiniMax M2.7DeltaQwen3.8 Max
Capabilities
67
-17
83
Benchmarks
69
-9
78
Pricing
99
+5
94
Context window size
84
-11
95
Recency
100
--
100
Output Capacity
20
-65
85
Overall Result
1 wins
of 6
4 wins
Qwen3.8 Max wins 4 of 6 signals

Score History

Score History (24 data points)
MiniMax M2.7Qwen3.8 Max
MiniMax M2.7

78

current score

Leader

Qwen3.8 Max

right now

Qwen3.8 Max

78.6

current score

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

MiniMax M2.7

MiniMax

Best Value
Per request$0.000720
Daily$2.40
Monthly$72.00
Annual$864.00

Qwen3.8 Max

Alibaba

Per request$0.005000
Daily$16.67
Monthly$500.00
Annual$6000.00

MiniMax M2.7 saves you $428.00/month

That's $5136.00/year compared to Qwen3.8 Max at your current usage level of 100K calls/month.

86% cheaper
Choose MiniMax M2.7 for cost optimization

MiniMax M2.7 pricing:
Input:$0.24/M tokens
Output:$0.96/M tokens
Qwen3.8 Max pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
MiniMax M2.7

MiniMax

78

Composite Score

Winner
Qwen3.8 Max

Alibaba

79

Composite Score

Signal-by-Signal Comparison
MetricMiniMax M2.7Qwen3.8 MaxWinner
Overall Score
78
79
Qwen3.8 Max
Rank#105#104
Qwen3.8 Max
Quality Rank#105#104
Qwen3.8 Max
Adoption Rank#105#104
Qwen3.8 Max
Parameters------
Context Window205K1000K
Qwen3.8 Max
Pricing$0.24/$0.96/M$2.00/$6.00/M--
Signal Scores
Capabilities
67
83
Qwen3.8 Max
Benchmarks
69
78
Qwen3.8 Max
Pricing
99
94
MiniMax M2.7
Context window size
84
95
Qwen3.8 Max
Recency
100
100
MiniMax M2.7
Output Capacity
20
85
Qwen3.8 Max
Benchmark Head-to-Head(1 benchmarks)
MiniMax M2.7: 0Qwen3.8 Max: 1
MiniMax M2.7
Qwen3.8 Max
Normalized 0-100%
Arena Elo
14161481
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 M2.7Strong Performer

Scores 78/100 (rank #105), placing it in the top 64% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.8 MaxStrong Performer

Scores 79/100 (rank #104), placing it in the top 64% 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 M2.7 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 Qwen3.8 Max when you need:

  • Processing long documents or large codebases (1000K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
MiniMax M2.7Best Value
Input cost$0.24/M tokens
Output cost$0.96/M tokens
Cost per quality point$0.015
Est. monthly (1M tokens/day)$18.00
Qwen3.8 Max
Input cost$2.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.102
Est. monthly (1M tokens/day)$120.00

MiniMax M2.7 offers 85% better value per quality point. At 1M tokens/day, you'd spend $18.00/month with MiniMax M2.7 vs $120.00/month with Qwen3.8 Max - a $102.00 monthly difference.

Latency & Speed
MiniMax M2.7Faster
Speed score0/100
Qwen3.8 Max
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 M2.7

Customer support chatbot

Suitable for user-facing chat with competitive response times. MiniMax M2.7 also offers lower per-token costs for high-volume support

MiniMax M2.7

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3.8 Max

Batch data extraction

Lower output pricing ($0.96/M) reduces costs when processing thousands of records daily

MiniMax M2.7

Creative writing & content

Higher overall composite score (79/100) correlates with better nuance, coherence, and style in long-form content

Qwen3.8 Max

Image understanding & OCR

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

Qwen3.8 Max
Which Should You Choose?
Our recommendation:
Qwen3.8 Max

MiniMax M2.7 and Qwen3.8 Max 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 Cost - 85% 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
Qwen3.8 Max
Recommended

by Alibaba

Consider for specialized use cases.

Capability Comparison
CapabilityMiniMax M2.7Qwen3.8 Max
Vision (Image Input)differs
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 M2.7

MiniMax

Best Value
$1.58
estimated monthly cost

Qwen3.8 Max

Alibaba

$10.80
estimated monthly cost

MiniMax M2.7 saves you $9.22/month

That's 85% cheaper than Qwen3.8 Max 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 M2.7Qwen3.8 Max
Context Window205K1M
Max Output Tokens--131,072
Open SourceYesNo
CreatedMar 18, 2026Aug 3, 2026
Last updated: 22m ago

相关对比

MiniMax M2.7 vs Qwen3.8 Max (2026) | LM Market Cap