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Model comparison

GLM-5 (Reasoning) vs Mixtral 8x22B Instruct v0.1

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
59.77/100
No comparison
0 category wins0 category wins

Public leaderboard positions: GLM-5 (Reasoning) #52 (Estimated); Mixtral 8x22B Instruct v0.1 #125 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-5 (Reasoning) and Mixtral 8x22B Instruct v0.1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to GLM-5 (Reasoning); 0 to Mixtral 8x22B Instruct v0.1.

Updated July 24, 2026
Shared results
0
GLM-5 (Reasoning) only
2
Mixtral 8x22B Instruct v0.1 only
0
Comparable categories
0 / 8

Benchmark data for GLM-5 (Reasoning) and Mixtral 8x22B Instruct v0.1 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM does not have sourced benchmark coverage for Mixtral 8x22B Instruct v0.1 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

GLM-5 (Reasoning) is priced at $1.00 input / $3.20 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Mixtral 8x22B Instruct v0.1. GLM-5 (Reasoning) has the larger context window at 200K, compared with 64K for Mixtral 8x22B Instruct v0.1.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGLM-5 (Reasoning)Mixtral 8x22B Instruct v0.1Comparison
Input / output priceUSD per 1M tokensGLM-5 (Reasoning)$1 input / $3.2 outputMixtral 8x22B Instruct v0.1$0 input / $0 outputMixtral 8x22B Instruct v0.1 has the lower combined listed price.
Generation speedtokens per secondGLM-5 (Reasoning)Not availableMixtral 8x22B Instruct v0.1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGLM-5 (Reasoning)Not availableMixtral 8x22B Instruct v0.1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGLM-5 (Reasoning)200KMixtral 8x22B Instruct v0.164KGLM-5 (Reasoning) lists the larger context window.

Benchmark Deep Dive

Coding
BenchmarkGLM-5 (Reasoning)Mixtral 8x22B Instruct v0.1Result
Vibe Code BenchSource 23.36%Not comparable
Multimodal
BenchmarkGLM-5 (Reasoning)Mixtral 8x22B Instruct v0.1Result
Design Arena WebsiteSource 1278Not comparable
Frequently Asked Questions (3)

Can I compare GLM-5 (Reasoning) and Mixtral 8x22B Instruct v0.1 on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for GLM-5 (Reasoning) and Mixtral 8x22B Instruct v0.1 today?

GLM-5 (Reasoning): $1.00 input / $3.20 output per 1M tokens Mixtral 8x22B Instruct v0.1: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 24, 2026

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