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Model comparison

GLM-5 vs Grok Code Fast 1

Data verified

Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Z.AI
66.06/100
Margin
27.4pts
← winning
38.64/100
0 category wins1 category wins

Public leaderboard positions: GLM-5 #28 (Supported); Grok Code Fast 1 #180 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-5 and Grok Code Fast 1 share 12 comparable benchmark results. 1 of 8 categories are comparable. 37 results are unique to GLM-5; 0 to Grok Code Fast 1.

Updated July 20, 2026
Shared results
12
GLM-5 only
37
Grok Code Fast 1 only
0
Comparable categories
1 / 8

Pick GLM-5 if you want the stronger benchmark profile. Grok Code Fast 1 only becomes the better choice if coding is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 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-5 is clearly ahead on the BenchAlign aggregate, 66.06 to 38.64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GLM-5 is also the more expensive model on tokens at $1.00 input / $3.20 output per 1M tokens, versus $0.20 input / $1.50 output per 1M tokens for Grok Code Fast 1. That is roughly 2.1x on output cost alone. Grok Code Fast 1 gives you the larger context window at 256K, compared with 200K for GLM-5.

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-5 and Grok Code Fast 1
CategoryGLM-5ΔGrok Code Fast 1
CodingGLM-566.3Margin 4.5Grok Code Fast 170.8
AgenticGLM-556.2MarginNo overlapGrok Code Fast 1Not measured
ReasoningGLM-560.8MarginNo overlapGrok Code Fast 1Not measured
KnowledgeGLM-566.4MarginNo overlapGrok Code Fast 1Not measured
MathGLM-556.3MarginNo overlapGrok Code Fast 1Not measured
MultilingualGLM-583.1MarginNo overlapGrok Code Fast 1Not measured
Inst. FollowingGLM-592.6MarginNo overlapGrok Code Fast 1Not measured

Decisive benchmark drivers

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

More
A · GLM-5B · Grok Code Fast 1
  1. SWE-bench Verified

    Coding
    Source ↗
    A 77.8%B 70.8%
    Winner: GLM-5Δ 7
    SWE-bench Verified: GLM-5 scored 77.8%; Grok Code Fast 1 scored 70.8%. GLM-5 wins this benchmark.

Operational comparison

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

MetricGLM-5Grok Code Fast 1Comparison
Input / output priceUSD per 1M tokensGLM-5$1 input / $3.2 outputGrok Code Fast 1$0.2 input / $1.5 outputGrok Code Fast 1 has the lower combined listed price.
Generation speedtokens per secondGLM-574 tok/sGrok Code Fast 1172 tok/sGrok Code Fast 1 has the higher measured throughput.
First-answer latencyseconds to first tokenGLM-51.64 sGrok Code Fast 12.81 sGLM-5 reaches the first token sooner.
Context windowmaximum listed tokensGLM-5200KGrok Code Fast 1256KGrok Code Fast 1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-5Grok Code Fast 1Result
Terminal-Bench 2.0Source 56.2%Not comparable
Claw-EvalSource 57.7%Not comparable
QwenClawBenchSource 54.1%Not comparable
τ³-bench resultsSource 65.6%Not comparable
DeepPlanningSource 14.6%Not comparable
ToolathlonSource 38%Not comparable
MCP AtlasSource 31.1%Not comparable
MCP-TasksSource 60.8%Not comparable
WideResearchSource 69.8%Not comparable
τ²-bench resultsSource 98.2%75.7%GLM-5 leads
CyberGymSource 43.2%Not comparable
APEX-Agents-AASource 14.5%Not comparable
Gert LabsSource 50.99%Not comparable
CodingGrok Code Fast 1 wins
BenchmarkGLM-5Grok Code Fast 1Result
SWE-bench VerifiedSource 77.8%70.8%GLM-5 leads
SWE-bench Verified*Source 72.8%Not comparable
SWE-bench ProSource 55.1%Not comparable
SWE MultilingualSource 73.3%Not comparable
SWE-RebenchSource 62.8%Not comparable
React Native EvalsSource 74.8%Not comparable
AA-SciCodeSource 46.2%36.2%GLM-5 leads
Reasoning
BenchmarkGLM-5Grok Code Fast 1Result
LongBench v2Source 60.8%Not comparable
AI-NeedleSource 63.3%Not comparable
AA-LCRSource 63.3%48.3%GLM-5 leads
CritPtSource 2.0%0.0%GLM-5 leads
Knowledge
BenchmarkGLM-5Grok Code Fast 1Result
GPQASource 86%Not comparable
GPQA-DSource 86.0%Not comparable
SuperGPQASource 66.8%Not comparable
MMLU-ProSource 85.7%Not comparable
MMLU-Pro (Arcee)Source 85.8%Not comparable
HLESource 50.4%Not comparable
Artificial Analysis Intelligence IndexSource 39.5%21.6%GLM-5 leads
AA-GPQA DiamondSource 82.0%72.7%GLM-5 leads
AA-HLESource 27.2%7.5%GLM-5 leads
AA-Omniscience IndexSource 2.0%-36.0%GLM-5 leads
AA-Omniscience AccuracySource 26.9%23.8%GLM-5 leads
AA-Omniscience Hallucination RateSource 34.0%78.5%GLM-5 leads
Math
BenchmarkGLM-5Grok Code Fast 1Result
AIME26Source 95.8%Not comparable
AIME25 (Arcee)Source 93.3%Not comparable
HMMT Feb 2025Source 97.5%Not comparable
HMMT Nov 2025Source 96.9%Not comparable
HMMT Feb 2026Source 86.4%Not comparable
MMAnswerBenchSource 82.5%Not comparable
FrontierMath v2 (Tiers 1-3)Source 16.434%Not comparable
FrontierMath v2 (Tier 4)Source 2.100%Not comparable
Multilingual
BenchmarkGLM-5Grok Code Fast 1Result
MMLU-ProXSource 83.1%Not comparable
NOVA-63Source 55.1%Not comparable
Multimodal
BenchmarkGLM-5Grok Code Fast 1Result
Design Arena WebsiteSource 1280Not comparable
Inst. Following
BenchmarkGLM-5Grok Code Fast 1Result
IFEvalSource 92.6%Not comparable
AA-IFBenchSource 72.3%41.4%GLM-5 leads
Frequently Asked Questions (2)

Which is better, GLM-5 or Grok Code Fast 1?

GLM-5 is ahead on BenchLM's BenchAlign leaderboard, 66.06 to 38.64. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 77.8% and 70.8%.

Which is better for coding, GLM-5 or Grok Code Fast 1?

Grok Code Fast 1 has the edge for coding in this comparison, averaging 70.8 versus 66.3. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.

Related Comparisons

Last updated: July 20, 2026

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