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Model comparison

GLM-4.7-Flash vs Step 3.7 Flash

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.
N/A
No comparison
50.87/100
0 category wins0 category wins

Public leaderboard positions: GLM-4.7-Flash #106 (Supported); Step 3.7 Flash #110 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-4.7-Flash and Step 3.7 Flash share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to GLM-4.7-Flash; 29 to Step 3.7 Flash.

Updated July 20, 2026
Shared results
0
GLM-4.7-Flash only
0
Step 3.7 Flash only
29
Comparable categories
0 / 8

Benchmark data for GLM-4.7-Flash and Step 3.7 Flash 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 GLM-4.7-Flash yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Step 3.7 Flash is priced at $0.20 input / $1.15 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-4.7-Flash. Step 3.7 Flash has the larger context window at 256K, compared with 200K for GLM-4.7-Flash.

Operational comparison

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

MetricGLM-4.7-FlashStep 3.7 FlashComparison
Input / output priceUSD per 1M tokensGLM-4.7-Flash$0 input / $0 outputStep 3.7 Flash$0.2 input / $1.15 outputGLM-4.7-Flash has the lower combined listed price.
Generation speedtokens per secondGLM-4.7-Flash95 tok/sStep 3.7 FlashNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGLM-4.7-Flash0.91 sStep 3.7 FlashNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGLM-4.7-Flash200KStep 3.7 Flash256KStep 3.7 Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-4.7-FlashStep 3.7 FlashResult
Terminal-Bench 2.0Source 59.5%Not comparable
BrowseCompSource 75.8%Not comparable
DeepSearchQASource 92.8%Not comparable
GDPval-AASource 25.9%Not comparable
ToolathlonSource 49.5%Not comparable
Claw-EvalSource 67.1%Not comparable
HLE w/ toolsSource 47.2%Not comparable
Gert LabsSource 51.57%Not comparable
AA Agentic IndexSource 21.5%Not comparable
τ²-bench resultsSource 98.5%Not comparable
GDPval-AASource 1017Not comparable
APEX-Agents-AASource 14.8%Not comparable
Coding
BenchmarkGLM-4.7-FlashStep 3.7 FlashResult
SWE-bench ProSource 56.3%Not comparable
Terminal-Bench 2.0Source 59.5%Not comparable
AA Coding IndexSource 39.6%Not comparable
AA-SciCodeSource 40.0%Not comparable
Reasoning
BenchmarkGLM-4.7-FlashStep 3.7 FlashResult
AA-LCRSource 63.7%Not comparable
CritPtSource 2.3%Not comparable
Knowledge
BenchmarkGLM-4.7-FlashStep 3.7 FlashResult
Artificial Analysis Intelligence IndexSource 30.3%Not comparable
AA-GPQA DiamondSource 80.9%Not comparable
AA-HLESource 19.9%Not comparable
AA-Omniscience IndexSource -37.5%Not comparable
AA-Omniscience AccuracySource 25.4%Not comparable
AA-Omniscience Hallucination RateSource 84.4%Not comparable
Multimodal
BenchmarkGLM-4.7-FlashStep 3.7 FlashResult
SimpleVQASource 79.2%Not comparable
V*Source 95.3%Not comparable
AA-MMMU-ProSource 75.3%Not comparable
Design Arena WebsiteSource 1214Not comparable
Inst. Following
BenchmarkGLM-4.7-FlashStep 3.7 FlashResult
AA-IFBenchSource 67.3%Not comparable
Frequently Asked Questions (3)

Can I compare GLM-4.7-Flash and Step 3.7 Flash 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-4.7-Flash and Step 3.7 Flash today?

GLM-4.7-Flash: $0.00 input / $0.00 output per 1M tokens Step 3.7 Flash: $0.20 input / $1.15 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 20, 2026

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