Skip to main content

Model comparison

GLM-4.7 vs o3

Data verified

Head-to-head evidence from 14 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

61.16/100
Margin
13.3pts
← winning
OpenAI
47.89/100
0 category wins1 category wins

Public leaderboard positions: GLM-4.7 #42 (Supported); o3 #131 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-4.7 and o3 share 14 comparable benchmark results. 1 of 8 categories are comparable. 16 results are unique to GLM-4.7; 2 to o3.

Updated July 20, 2026
Shared results
14
GLM-4.7 only
16
o3 only
2
Comparable categories
1 / 8

Pick GLM-4.7 if you want the stronger benchmark profile. o3 only becomes the better choice if mathematics is the priority.

Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 7 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GLM-4.7 is clearly ahead on the BenchAlign aggregate, 61.16 to 47.89. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

o3 is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-4.7. That is roughly Infinityx on output cost alone.

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-4.7 and o3
CategoryGLM-4.7Δo3
MathGLM-4.71.8Margin 12.7o314.5
AgenticGLM-4.745.7MarginNo overlapo3Not measured
CodingGLM-4.775.4MarginNo overlapo3Not measured
KnowledgeGLM-4.751.8MarginNo overlapo3Not measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · GLM-4.7B · o3
  1. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 2.439%B 18.685%
    Winner: o3Δ 16.2
    FrontierMath v2 (Tiers 1-3): GLM-4.7 scored 2.439%; o3 scored 18.685%. o3 wins this benchmark.
  2. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 0.000%B 2.083%
    Winner: o3Δ 2.1
    FrontierMath v2 (Tier 4): GLM-4.7 scored 0.000%; o3 scored 2.083%. o3 wins this benchmark.

Operational comparison

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

MetricGLM-4.7o3Comparison
Input / output priceUSD per 1M tokensGLM-4.7$0 input / $0 outputo3$2 input / $8 outputGLM-4.7 has the lower combined listed price.
Generation speedtokens per secondGLM-4.782 tok/so3118 tok/so3 has the higher measured throughput.
First-answer latencyseconds to first tokenGLM-4.71.10 so35.38 sGLM-4.7 reaches the first token sooner.
Context windowmaximum listed tokensGLM-4.7200Ko3200KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGLM-4.7o3Result
Terminal-Bench 2.0Source 41%Not comparable
BrowseCompSource 52%Not comparable
VITA-BenchSource 15.5%Not comparable
AA Agentic IndexSource 25.4%Not comparable
τ²-bench resultsSource 95.9%80.7%GLM-4.7 leads
Gert LabsSource 39.95%Not comparable
GDPval-AASource 33.3%Not comparable
GDPval-AASource 1165Not comparable
Coding
BenchmarkGLM-4.7o3Result
SWE-bench VerifiedSource 73.8%Not comparable
LiveCodeBenchSource 84.9%Not comparable
SWE-RebenchSource 58.7%Not comparable
AA Coding IndexSource 45.3%Not comparable
AA-SciCodeSource 45.1%41.0%GLM-4.7 leads
AA LiveCodeBenchSource 89.4%Not comparable
Reasoning
BenchmarkGLM-4.7o3Result
AA-LCRSource 64.0%69.3%o3 leads
CritPtSource 1.7%1.1%GLM-4.7 leads
Knowledge
BenchmarkGLM-4.7o3Result
GPQASource 85.7%Not comparable
MMLU-ProSource 84.3%Not comparable
HLESource 24.8%Not comparable
Artificial Analysis Intelligence IndexSource 33.7%30.4%GLM-4.7 leads
AA-GPQA DiamondSource 85.9%82.7%GLM-4.7 leads
AA-HLESource 25.1%20.0%GLM-4.7 leads
AA-Omniscience IndexSource -34.6%-15.3%o3 leads
AA-Omniscience AccuracySource 29.3%38.4%o3 leads
AA-Omniscience Hallucination RateSource 90.3%87.1%o3 leads
Matho3 wins
BenchmarkGLM-4.7o3Result
AIME 2025Source 95.7%Not comparable
FrontierMath v2 (Tiers 1-3)Source 2.439%18.685%o3 leads
FrontierMath v2 (Tier 4)Source 0.000%2.083%o3 leads
AA MATH-500Source 99.2%Not comparable
Multimodal
BenchmarkGLM-4.7o3Result
Design Arena WebsiteSource 12581069GLM-4.7 leads
AA-MMMU-ProSource 70.1%Not comparable
Inst. Following
BenchmarkGLM-4.7o3Result
AA-IFBenchSource 67.9%71.4%o3 leads
Frequently Asked Questions (2)

Which is better, GLM-4.7 or o3?

GLM-4.7 is ahead on BenchLM's BenchAlign leaderboard, 61.16 to 47.89. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 2.439% and 18.685%.

Which is better for math, GLM-4.7 or o3?

o3 has the edge for math in this comparison, averaging 14.5 versus 1.8. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.

Related Comparisons

Last updated: July 20, 2026

Choose a model with this week’s evidence

Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.

One email each week. Unsubscribe anytime.