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Model comparison

GLM-4.6 vs Mistral Small 4 (Reasoning)

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

55.12/100
No comparison
0 category wins0 category wins

Public leaderboard positions: GLM-4.6 #85 (Supported); Mistral Small 4 (Reasoning) unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-4.6 and Mistral Small 4 (Reasoning) share 11 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to GLM-4.6; 5 to Mistral Small 4 (Reasoning).

Updated July 23, 2026
Shared results
11
GLM-4.6 only
3
Mistral Small 4 (Reasoning) only
5
Comparable categories
0 / 8

Benchmark data for GLM-4.6 and Mistral Small 4 (Reasoning) is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Mistral Small 4 (Reasoning) has the larger context window at 256K, compared with 200K for GLM-4.6.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for GLM-4.6 and Mistral Small 4 (Reasoning)
CategoryGLM-4.6ΔMistral Small 4 (Reasoning)
MathGLM-4.63.4MarginNo overlapMistral Small 4 (Reasoning)Not measured

Operational comparison

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

MetricGLM-4.6Mistral Small 4 (Reasoning)Comparison
Input / output priceUSD per 1M tokensGLM-4.6Not availableMistral Small 4 (Reasoning)$0.15 input / $0.6 outputA complete price comparison is not available.
Generation speedtokens per secondGLM-4.6Not availableMistral Small 4 (Reasoning)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGLM-4.6Not availableMistral Small 4 (Reasoning)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGLM-4.6200KMistral Small 4 (Reasoning)256KMistral Small 4 (Reasoning) lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-4.6Mistral Small 4 (Reasoning)Result
τ²-bench resultsSource 76.9%41.2%GLM-4.6 leads
AA Agentic IndexSource 4.7%Not comparable
GDPval-AASource 4.4%Not comparable
GDPval-AASource 588Not comparable
Coding
BenchmarkGLM-4.6Mistral Small 4 (Reasoning)Result
Vibe Code BenchSource 3.09%Not comparable
AA-SciCodeSource 33.1%38.0%Mistral Small 4 (Reasoning) leads
AA Coding IndexSource 26.6%Not comparable
Reasoning
BenchmarkGLM-4.6Mistral Small 4 (Reasoning)Result
AA-LCRSource 26.3%44.7%Mistral Small 4 (Reasoning) leads
CritPtSource 0.0%0.3%Mistral Small 4 (Reasoning) leads
Knowledge
BenchmarkGLM-4.6Mistral Small 4 (Reasoning)Result
Artificial Analysis Intelligence IndexSource 23.0%19.6%GLM-4.6 leads
AA-GPQA DiamondSource 63.2%76.9%Mistral Small 4 (Reasoning) leads
AA-HLESource 5.2%9.5%Mistral Small 4 (Reasoning) leads
AA-Omniscience IndexSource -31.6%-29.9%Mistral Small 4 (Reasoning) leads
AA-Omniscience AccuracySource 20.8%22.1%Mistral Small 4 (Reasoning) leads
AA-Omniscience Hallucination RateSource 66.1%66.8%GLM-4.6 leads
Math
BenchmarkGLM-4.6Mistral Small 4 (Reasoning)Result
FrontierMath v2 (Tiers 1-3)Source 3.819%Not comparable
FrontierMath v2 (Tier 4)Source 2.128%Not comparable
Multimodal
BenchmarkGLM-4.6Mistral Small 4 (Reasoning)Result
AA-MMMU-ProSource 56.8%Not comparable
Inst. Following
BenchmarkGLM-4.6Mistral Small 4 (Reasoning)Result
AA-IFBenchSource 36.7%48.2%Mistral Small 4 (Reasoning) leads
Frequently Asked Questions (3)

Can I compare GLM-4.6 and Mistral Small 4 (Reasoning) 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-4.6 and Mistral Small 4 (Reasoning) today?

Mistral Small 4 (Reasoning): $0.15 input / $0.60 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 23, 2026

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