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Model comparison

Gemini 3.5 Flash vs GLM-5.2

Data verified

Head-to-head evidence from 30 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

64.75/100
Margin
0.8pts
← winning
63.96/100
0 category wins4 category wins

Public leaderboard positions: Gemini 3.5 Flash #33 (Estimated); GLM-5.2 #37 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 3.5 Flash and GLM-5.2 share 30 comparable benchmark results. 4 of 8 categories are comparable. 16 results are unique to Gemini 3.5 Flash; 13 to GLM-5.2.

Updated July 23, 2026
Shared results
30
Gemini 3.5 Flash only
16
GLM-5.2 only
13
Comparable categories
4 / 8

Pick Gemini 3.5 Flash if you want the stronger benchmark profile. GLM-5.2 only becomes the better choice if mathematics is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 30 shared benchmark results across 6 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Gemini 3.5 Flash has the cleaner BenchAlign overall profile here, landing at 64.75 versus 63.96. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Gemini 3.5 Flash is also the more expensive model on tokens at $1.50 input / $9.00 output per 1M tokens, versus $1.40 input / $4.40 output per 1M tokens for GLM-5.2. That is roughly 2.0x 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 Gemini 3.5 Flash and GLM-5.2
CategoryGemini 3.5 FlashΔGLM-5.2
MathGemini 3.5 Flash32.9Margin→ 63.0GLM-5.295.9
KnowledgeGemini 3.5 Flash47.2Margin→ 12.4GLM-5.259.6
CodingGemini 3.5 Flash53.9Margin→ 8.2GLM-5.262.1
AgenticGemini 3.5 Flash77.2Margin→ 3.8GLM-5.281.0
ReasoningGemini 3.5 Flash74.7MarginNo overlapGLM-5.2Not measured
MultimodalGemini 3.5 Flash83.8MarginNo overlapGLM-5.2Not measured
Inst. FollowingGemini 3.5 Flash76.3MarginNo overlapGLM-5.2Not measured

Decisive benchmark drivers

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

More
A · Gemini 3.5 FlashB · GLM-5.2

  1. HLE

    Knowledge
    Source ↗
    A 40.2%B 54.7%
    Winner: GLM-5.2Δ 14.5
    HLE: Gemini 3.5 Flash scored 40.2%; GLM-5.2 scored 54.7%. GLM-5.2 wins this benchmark.

  2. SWE-bench Pro

    Coding
    Source ↗
    A 55.1%B 62.1%
    Winner: GLM-5.2Δ 7
    SWE-bench Pro: Gemini 3.5 Flash scored 55.1%; GLM-5.2 scored 62.1%. GLM-5.2 wins this benchmark.

  3. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 76.2%B 81%
    Winner: GLM-5.2Δ 4.8
    Terminal-Bench 2.0: Gemini 3.5 Flash scored 76.2%; GLM-5.2 scored 81%. GLM-5.2 wins this benchmark.

  4. GPQA

    Knowledge
    Source ↗
    A 92.2%B 91.2%
    Winner: Gemini 3.5 FlashΔ 1
    GPQA: Gemini 3.5 Flash scored 92.2%; GLM-5.2 scored 91.2%. Gemini 3.5 Flash wins this benchmark.

Operational comparison

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

MetricGemini 3.5 FlashGLM-5.2Comparison
Input / output priceUSD per 1M tokensGemini 3.5 Flash$1.5 input / $9 outputGLM-5.2$1.4 input / $4.4 outputGLM-5.2 has the lower combined listed price.
Generation speedtokens per secondGemini 3.5 Flash284.2 tok/sGLM-5.2Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 3.5 Flash18.55 sGLM-5.2Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 3.5 Flash1MGLM-5.21MListed context windows are equal.

Benchmark Deep Dive

AgenticGLM-5.2 wins
BenchmarkGemini 3.5 FlashGLM-5.2Result
Terminal-Bench 2.0Source 76.2%81%GLM-5.2 leads
MCP AtlasSource 83.6%76.8%Gemini 3.5 Flash leads
ToolathlonSource 56.5%48.2%Gemini 3.5 Flash leads
OSWorld-VerifiedSource 78.4%—Not comparable
Finance Agent v2Source 57.9%—Not comparable
GDPval-AASource 13491514GLM-5.2 leads
τ²-bench resultsSource 95.3%99.1%GLM-5.2 leads
GDPval-AASource 42.4%50.7%GLM-5.2 leads
AA Agentic IndexSource 37.5%43.1%GLM-5.2 leads
APEX-Agents-AASource 47.1%33.7%Gemini 3.5 Flash leads
Gert LabsSource 61.85%—Not comparable
ResearchClawBenchSource 18.0%20.7%GLM-5.2 leads
AA AutomationBenchSource 42.6%27.8%Gemini 3.5 Flash leads
AA EnterpriseOps-GymSource 50.1%42.7%Gemini 3.5 Flash leads
terminalBenchHardSource 40.9%50.8%GLM-5.2 leads
AA BriefcaseSource —1260Not comparable
AA Harvey LABSource —91.0%Not comparable
AA ITBenchSource —42.7%Not comparable
AA Tau3 BankingSource —26.8%Not comparable
aaTerminalBench21Source —77.9%Not comparable
CodingGLM-5.2 wins
BenchmarkGemini 3.5 FlashGLM-5.2Result
Terminal-Bench 2.0Source 76.2%81.0%GLM-5.2 leads
SWE-bench ProSource 55.1%62.1%GLM-5.2 leads
SciCodeSource 53.1%—Not comparable
Vibe Code BenchSource 48.68%—Not comparable
cursorBench31Source 49.8%—Not comparable
cursorBench32Source 48.8%55.0%GLM-5.2 leads
AA Coding IndexSource 70.1%68.8%Gemini 3.5 Flash leads
AA-SciCodeSource 53.1%50.5%Gemini 3.5 Flash leads
NL2RepoSource —48.9%Not comparable
ProgramBenchSource —63.7%Not comparable
Reasoning
BenchmarkGemini 3.5 FlashGLM-5.2Result
MRCRv2Source 77.3%—Not comparable
MRCR 1MSource 26.6%—Not comparable
ARC-AGI-2Source 72.1%—Not comparable
AA-LCRSource 69.3%71.3%GLM-5.2 leads
CritPtSource 13.1%20.9%GLM-5.2 leads
KnowledgeGLM-5.2 wins
BenchmarkGemini 3.5 FlashGLM-5.2Result
Artificial Analysis Intelligence IndexSource 50.2%51.1%GLM-5.2 leads
GPQASource 92.2%91.2%Gemini 3.5 Flash leads
GPQA-DSource 92.7%91.2%Gemini 3.5 Flash leads
HLESource 40.2%54.7%GLM-5.2 leads
AA-Omniscience AccuracySource 51.9%25.1%Gemini 3.5 Flash leads
AA-Omniscience Hallucination RateSource 60.7%28.1%GLM-5.2 leads
AA-GPQA DiamondSource 92.2%89.5%Gemini 3.5 Flash leads
AA-HLESource 41.0%40.1%Gemini 3.5 Flash leads
AA-Omniscience IndexSource 22.7%4.0%Gemini 3.5 Flash leads
HLE w/o toolsSource —40.5%Not comparable
AA Openness IndexSource —44.4%Not comparable
MathGLM-5.2 wins
BenchmarkGemini 3.5 FlashGLM-5.2Result
FrontierMath v2 (Tiers 1-3)Source 38.966%—Not comparable
FrontierMath v2 (Tier 4)Source 14.583%—Not comparable
AIME26Source —99.2%Not comparable
HMMT Nov 2025Source —94.4%Not comparable
HMMT Feb 2026Source —92.5%Not comparable
MMAnswerBenchSource —91.0%Not comparable
Multimodal
BenchmarkGemini 3.5 FlashGLM-5.2Result
CharXivSource 84.2%—Not comparable
MMMU-ProSource 83.6%—Not comparable
Blueprint-Bench 2Source 33.6%—Not comparable
AA-MMMU-ProSource 84.3%—Not comparable
Design Arena WebsiteSource 12851340GLM-5.2 leads
Inst. Following
BenchmarkGemini 3.5 FlashGLM-5.2Result
IFBenchSource 76.3%—Not comparable
AA-IFBenchSource 76.3%73.3%Gemini 3.5 Flash leads
Frequently Asked Questions (5)

Which is better, Gemini 3.5 Flash or GLM-5.2?

Gemini 3.5 Flash is ahead on BenchLM's BenchAlign leaderboard, 64.75 to 63.96. The biggest single separator in this matchup is HLE, where the scores are 40.2% and 54.7%.

Which is better for knowledge tasks, Gemini 3.5 Flash or GLM-5.2?

GLM-5.2 has the edge for knowledge tasks in this comparison, averaging 59.6 versus 47.2. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, Gemini 3.5 Flash or GLM-5.2?

GLM-5.2 has the edge for coding in this comparison, averaging 62.1 versus 53.9. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

Which is better for math, Gemini 3.5 Flash or GLM-5.2?

GLM-5.2 has the edge for math in this comparison, averaging 95.9 versus 32.9. Gemini 3.5 Flash stays close enough that the answer can still flip depending on your workload.

Which is better for agentic tasks, Gemini 3.5 Flash or GLM-5.2?

GLM-5.2 has the edge for agentic tasks in this comparison, averaging 81 versus 77.2. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

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