Skip to content

Mixtral 8x22B Instruct vs GLM 4.5 Air

Mixtral 8x22B Instruct

Mistral AI

63#168
vs
GLM 4.5 Air

Zhipu AI

64#167
Signal-by-Signal Comparison
SignalMixtral 8x22B InstructDeltaGLM 4.5 Air
Capabilities
50
--
50
Benchmarks
71
+6
65
Pricing
94
-5
99
Context window size
76
-5
81
Recency
0
-52
52
Output Capacity
75
-4
80
Overall Result
1 wins
of 6
4 wins
GLM 4.5 Air wins 4 of 6 signals

Score History

Score History (35 data points)
Mixtral 8x22B InstructGLM 4.5 Air
Mixtral 8x22B Instruct

63.4

current score

Leader

GLM 4.5 Air

right now

GLM 4.5 Air

63.7

current score

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

Mixtral 8x22B Instruct

Mistral AI

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

GLM 4.5 Air

Zhipu AI

Best Value
Per request$0.000555
Daily$1.85
Monthly$55.50
Annual$666.00

GLM 4.5 Air saves you $444.50/month

That's $5334.00/year compared to Mixtral 8x22B Instruct at your current usage level of 100K calls/month.

89% cheaper
Choose GLM 4.5 Air for cost optimization

Mixtral 8x22B Instruct pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
GLM 4.5 Air pricing:
Input:$0.13/M tokens
Output:$0.85/M tokens
Mixtral 8x22B Instruct

Mistral AI

63

Composite Score

Winner
GLM 4.5 Air

Zhipu AI

64

Composite Score

Signal-by-Signal Comparison
MetricMixtral 8x22B InstructGLM 4.5 AirWinner
Overall Score
63
64
GLM 4.5 Air
Rank#168#167
GLM 4.5 Air
Quality Rank#168#167
GLM 4.5 Air
Adoption Rank#168#167
GLM 4.5 Air
Parameters22B----
Context Window66K131K
GLM 4.5 Air
Pricing$2.00/$6.00/M$0.13/$0.85/M--
Signal Scores
Capabilities
50
50
Mixtral 8x22B Instruct
Benchmarks
71
65
Mixtral 8x22B Instruct
Pricing
94
99
GLM 4.5 Air
Context window size
76
81
GLM 4.5 Air
Recency
0
52
GLM 4.5 Air
Output Capacity
75
80
GLM 4.5 Air
Benchmark Head-to-Head(9 benchmarks)
Mixtral 8x22B: 0GLM 4.5: 0
Mixtral 8x22B
GLM 4.5
Normalized 0-100%
MMLU
77.3%-
MMLU-Pro
-81.4%
MATH-500
60%-
HumanEval
78.6%-
GSM8K
88.4%-
ARC-Challenge
91.3%-
HellaSwag
88.7%-
Arena Elo
1146-
BigCodeBench
40.6%-
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.

Mixtral 8x22B InstructCompetitive

Scores 63/100 (rank #168), placing it in the top 42% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 4.5 AirCompetitive

Scores 64/100 (rank #167), placing it in the top 43% 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 Mixtral 8x22B Instruct when you need:

  • Self-hosted deployments where you need full control over the model

Choose GLM 4.5 Air when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (131K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Mixtral 8x22B Instruct
Input cost$2.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.126
Est. monthly (1M tokens/day)$120.00
GLM 4.5 AirBest Value
Input cost$0.13/M tokens
Output cost$0.85/M tokens
Cost per quality point$0.015
Est. monthly (1M tokens/day)$14.70

GLM 4.5 Air offers 88% better value per quality point. At 1M tokens/day, you'd spend $14.70/month with GLM 4.5 Air vs $120.00/month with Mixtral 8x22B Instruct - a $105.30 monthly difference.

Latency & Speed
Mixtral 8x22B InstructFaster
Speed score0/100
GLM 4.5 Air
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

Mixtral 8x22B Instruct

Customer support chatbot

Suitable for user-facing chat with competitive response times. GLM 4.5 Air also offers lower per-token costs for high-volume support

Mixtral 8x22B Instruct

Long document analysis

Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass

GLM 4.5 Air

Batch data extraction

Lower output pricing ($0.85/M) reduces costs when processing thousands of records daily

GLM 4.5 Air

Creative writing & content

Higher overall composite score (64/100) correlates with better nuance, coherence, and style in long-form content

GLM 4.5 Air
Which Should You Choose?
Our recommendation:
GLM 4.5 Air

Mixtral 8x22B Instruct and GLM 4.5 Air are extremely close in overall performance (only 0.30000000000000426 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Mistral AI

  • 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
GLM 4.5 Air
Recommended

by Zhipu AI

  • Choose for Cost - 88% lower pricing; better value at scale
Capability Comparison
CapabilityMixtral 8x22B InstructGLM 4.5 Air
Vision (Image Input)
Function Calling
Streaming
JSON Modediffers
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Mixtral 8x22B Instruct

Mistral AI

$10.80
estimated monthly cost

GLM 4.5 Air

Zhipu AI

Best Value
$1.25
estimated monthly cost

GLM 4.5 Air saves you $9.55/month

That's 88% cheaper than Mixtral 8x22B Instruct 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
ParameterMixtral 8x22B InstructGLM 4.5 Air
Context Window66K131K
Max Output Tokens52,42898,304
Open SourceYesYes
CreatedApr 17, 2024Jul 25, 2025
Last updated: 54m ago

Related comparisons

Mixtral 8x22B Instruct vs GLM 4.5 Air (2026) | LM Market Cap