Model comparison
GLM-5 vs Grok Code Fast 1
Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
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 | GLM-5 | Δ | Grok Code Fast 1 |
|---|---|---|---|
| Coding | GLM-566.3 | Margin→ 4.5 | Grok Code Fast 170.8 |
| Agentic | GLM-556.2 | MarginNo overlap | Grok Code Fast 1Not measured |
| Reasoning | GLM-560.8 | MarginNo overlap | Grok Code Fast 1Not measured |
| Knowledge | GLM-566.4 | MarginNo overlap | Grok Code Fast 1Not measured |
| Math | GLM-556.3 | MarginNo overlap | Grok Code Fast 1Not measured |
| Multilingual | GLM-583.1 | MarginNo overlap | Grok Code Fast 1Not measured |
| Inst. Following | GLM-592.6 | MarginNo overlap | Grok Code Fast 1Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Verified
CodingA 77.8%B 70.8%Winner: GLM-5Δ 7SWE-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.
| Metric | GLM-5 | Grok Code Fast 1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-5$1 input / $3.2 output | Grok Code Fast 1$0.2 input / $1.5 output | Grok Code Fast 1 has the lower combined listed price. |
| Generation speedtokens per second | GLM-574 tok/s | Grok Code Fast 1172 tok/s | Grok Code Fast 1 has the higher measured throughput. |
| First-answer latencyseconds to first token | GLM-51.64 s | Grok Code Fast 12.81 s | GLM-5 reaches the first token sooner. |
| Context windowmaximum listed tokens | GLM-5200K | Grok Code Fast 1256K | Grok Code Fast 1 lists the larger context window. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | GLM-5 | Grok Code Fast 1 | Result |
|---|---|---|---|
| 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 wins7 benchmarks
| Benchmark | GLM-5 | Grok Code Fast 1 | Result |
|---|---|---|---|
| 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 |
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | GLM-5 | Grok Code Fast 1 | Result |
|---|---|---|---|
| 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 |
Math8 benchmarks
| Benchmark | GLM-5 | Grok Code Fast 1 | Result |
|---|---|---|---|
| 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 |
Multilingual2 benchmarks
Multimodal1 benchmarks
| Benchmark | GLM-5 | Grok Code Fast 1 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1280 | — | Not comparable |
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.
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