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MiniMax M2.7 vs GLM 5 Turbo

MiniMax M2.7

MiniMax

78#72
vs
GLM 5 Turbo

Zhipu AI

78#73
Signal-by-Signal Comparison
SignalMiniMax M2.7DeltaGLM 5 Turbo
Capabilities
67
--
67
Benchmarks
69
-12
81
Pricing
99
+3
96
Context window size
84
+0
84
Recency
100
--
100
Output Capacity
85
--
85
Overall Result
2 wins
of 6
1 wins
MiniMax M2.7 wins 2 of 6 signals

Score History

Score History (20 data points)
MiniMax M2.7GLM 5 Turbo
MiniMax M2.7

78

current score

Leader

Tied

right now

GLM 5 Turbo

78

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$0.000750
Daily$2.50
Monthly$75.00
Annual$900.00

GLM 5 Turbo

Zhipu AI

Per request$0.003200
Daily$10.67
Monthly$320.00
Annual$3840.00

MiniMax M2.7 saves you $245.00/month

That's $2940.00/year compared to GLM 5 Turbo at your current usage level of 100K calls/month.

77% cheaper
Choose MiniMax M2.7 for cost optimization

MiniMax M2.7 pricing:
Input:$0.25/M tokens
Output:$1.00/M tokens
GLM 5 Turbo pricing:
Input:$1.20/M tokens
Output:$4.00/M tokens
Tie
MiniMax M2.7

MiniMax

78

Composite Score

Tie
GLM 5 Turbo

Zhipu AI

78

Composite Score

Signal-by-Signal Comparison
MetricMiniMax M2.7GLM 5 TurboWinner
Overall Score
78
78
--
Rank#72#73
MiniMax M2.7
Quality Rank#72#73
MiniMax M2.7
Adoption Rank#72#73
MiniMax M2.7
Parameters------
Context Window205K203K
MiniMax M2.7
Pricing$0.25/$1.00/M$1.20/$4.00/M--
Signal Scores
Capabilities
67
67
MiniMax M2.7
Benchmarks
69
81
GLM 5 Turbo
Pricing
99
96
MiniMax M2.7
Context window size
84
84
MiniMax M2.7
Recency
100
100
MiniMax M2.7
Output Capacity
85
85
MiniMax M2.7
Benchmark Head-to-Head(2 benchmarks)
MiniMax M2.7: 0GLM 5: 1
MiniMax M2.7
GLM 5
Normalized 0-100%
MMLU-Pro
-86%
Arena Elo
14171457
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 #72), placing it in the top 76% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5 TurboStrong Performer

Scores 78/100 (rank #73), placing it in the top 75% 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 M2.7 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 GLM 5 Turbo when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
MiniMax M2.7Best Value
Input cost$0.25/M tokens
Output cost$1.00/M tokens
Cost per quality point$0.016
Est. monthly (1M tokens/day)$18.75
GLM 5 Turbo
Input cost$1.20/M tokens
Output cost$4.00/M tokens
Cost per quality point$0.067
Est. monthly (1M tokens/day)$78.00

MiniMax M2.7 offers 76% better value per quality point. At 1M tokens/day, you'd spend $18.75/month with MiniMax M2.7 vs $78.00/month with GLM 5 Turbo - a $59.25 monthly difference.

Latency & Speed
MiniMax M2.7Faster
Speed score0/100
GLM 5 Turbo
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 (205K tokens) can process longer documents, contracts, and research papers in a single pass

MiniMax M2.7

Batch data extraction

Lower output pricing ($1.00/M) reduces costs when processing thousands of records daily

MiniMax M2.7

Creative writing & content

Higher overall composite score (78/100) correlates with better nuance, coherence, and style in long-form content

MiniMax M2.7
Which Should You Choose?
Our recommendation:
MiniMax M2.7

MiniMax M2.7 and GLM 5 Turbo 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 M2.7
Recommended

by MiniMax

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 76% 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 Zhipu AI

Consider for specialized use cases.

Capability Comparison
CapabilityMiniMax M2.7GLM 5 Turbo
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 M2.7

MiniMax

Best Value
$1.65
estimated monthly cost

GLM 5 Turbo

Zhipu AI

$6.96
estimated monthly cost

MiniMax M2.7 saves you $5.31/month

That's 76% cheaper than GLM 5 Turbo 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 M2.7GLM 5 Turbo
Context Window205K203K
Max Output Tokens131,072131,072
Open SourceYesNo
CreatedMar 18, 2026Mar 15, 2026
Last updated: 15m ago

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