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Model comparison

GLM-4.6 vs Mistral Large 3

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
Margin
4.7pts
← winning
50.4/100
0 category wins0 category wins

Public leaderboard positions: GLM-4.6 #85 (Supported); Mistral Large 3 #113 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-4.6 and Mistral Large 3 share 11 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to GLM-4.6; 5 to Mistral Large 3.

Updated July 23, 2026
Shared results
11
GLM-4.6 only
3
Mistral Large 3 only
5
Comparable categories
0 / 8

Benchmark data for GLM-4.6 and Mistral Large 3 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.

GLM-4.6 has the larger context window at 200K, compared with 128K for Mistral Large 3.

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 Large 3
CategoryGLM-4.6ΔMistral Large 3
MathGLM-4.63.4MarginNo overlapMistral Large 3Not measured

Operational comparison

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

MetricGLM-4.6Mistral Large 3Comparison
Input / output priceUSD per 1M tokensGLM-4.6Not availableMistral Large 3$0.5 input / $1.5 outputA complete price comparison is not available.
Generation speedtokens per secondGLM-4.6Not availableMistral Large 348 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGLM-4.6Not availableMistral Large 31.04 sA complete latency comparison is not available.
Context windowmaximum listed tokensGLM-4.6200KMistral Large 3128KGLM-4.6 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-4.6Mistral Large 3Result
τ²-bench resultsSource 76.9%24.6%GLM-4.6 leads
AA Agentic IndexSource 5.5%Not comparable
GDPval-AASource 6.6%Not comparable
GDPval-AASource 633Not comparable
Coding
BenchmarkGLM-4.6Mistral Large 3Result
Vibe Code BenchSource 3.09%Not comparable
AA-SciCodeSource 33.1%36.2%Mistral Large 3 leads
AA Coding IndexSource 20.1%Not comparable
Reasoning
BenchmarkGLM-4.6Mistral Large 3Result
AA-LCRSource 26.3%34.7%Mistral Large 3 leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkGLM-4.6Mistral Large 3Result
Artificial Analysis Intelligence IndexSource 23.0%15.9%GLM-4.6 leads
AA-GPQA DiamondSource 63.2%68.0%Mistral Large 3 leads
AA-HLESource 5.2%4.1%GLM-4.6 leads
AA-Omniscience IndexSource -31.6%-39.4%GLM-4.6 leads
AA-Omniscience AccuracySource 20.8%24.1%Mistral Large 3 leads
AA-Omniscience Hallucination RateSource 66.1%83.7%GLM-4.6 leads
Math
BenchmarkGLM-4.6Mistral Large 3Result
FrontierMath v2 (Tiers 1-3)Source 3.819%Not comparable
FrontierMath v2 (Tier 4)Source 2.128%Not comparable
Multimodal
BenchmarkGLM-4.6Mistral Large 3Result
AA-MMMU-ProSource 55.7%Not comparable
Inst. Following
BenchmarkGLM-4.6Mistral Large 3Result
AA-IFBenchSource 36.7%36.2%GLM-4.6 leads
Frequently Asked Questions (3)

Can I compare GLM-4.6 and Mistral Large 3 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 Large 3 today?

Mistral Large 3: $0.50 input / $1.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

GLM-4.6
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Mistral Large 3
API / mo$1,500
Self-host / mo$9,110
Break-even380M/day
Model the full break-even

Related Comparisons

Last updated: July 23, 2026

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