Model comparison
Claude Mythos 5 vs GLM-5
Head-to-head evidence from 5 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Mythos 5 #1 (Supported); GLM-5 #28 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Mythos 5 and GLM-5 share 5 comparable benchmark results. 4 of 8 categories are comparable. 10 results are unique to Claude Mythos 5; 44 to GLM-5.
Updated July 23, 2026- Shared results
- 5
- Claude Mythos 5 only
- 10
- GLM-5 only
- 44
- Comparable categories
- 4 / 8
Pick Claude Mythos 5 if you want the stronger benchmark profile. GLM-5 only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 3 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
Claude Mythos 5 is clearly ahead on the BenchAlign aggregate, 83.93 to 66.06. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Mythos 5's sharpest advantage is in mathematics, where it averages 97.6 against 56.3. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 88% to 56.2%.
Claude Mythos 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $1.00 input / $3.20 output per 1M tokens for GLM-5. That is roughly 15.6x on output cost alone. Claude Mythos 5 is the reasoning model in the pair, while GLM-5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Claude Mythos 5 gives you the larger context window at 1M+, 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 | Claude Mythos 5 | Δ | GLM-5 |
|---|---|---|---|
| Math | Claude Mythos 597.6 | Margin← 41.3 | GLM-556.3 |
| Agentic | Claude Mythos 587.0 | Margin← 30.8 | GLM-556.2 |
| Coding | Claude Mythos 589.7 | Margin← 23.4 | GLM-566.3 |
| Knowledge | Claude Mythos 568.5 | Margin← 2.1 | GLM-566.4 |
| Reasoning | Claude Mythos 5Not measured | MarginNo overlap | GLM-560.8 |
| Multilingual | Claude Mythos 5Not measured | MarginNo overlap | GLM-583.1 |
| Multimodal | Claude Mythos 593.5 | MarginNo overlap | GLM-5Not measured |
| Inst. Following | Claude Mythos 5Not measured | MarginNo overlap | GLM-592.6 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 88%B 56.2%Winner: Claude Mythos 5Δ 31.8Terminal-Bench 2.0: Claude Mythos 5 scored 88%; GLM-5 scored 56.2%. Claude Mythos 5 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 80.3%B 55.1%Winner: Claude Mythos 5Δ 25.2SWE-bench Pro: Claude Mythos 5 scored 80.3%; GLM-5 scored 55.1%. Claude Mythos 5 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 95.5%B 77.8%Winner: Claude Mythos 5Δ 17.7SWE-bench Verified: Claude Mythos 5 scored 95.5%; GLM-5 scored 77.8%. Claude Mythos 5 wins this benchmark. - Source ↗
HLE
KnowledgeA 64.5%B 50.4%Winner: Claude Mythos 5Δ 14.1HLE: Claude Mythos 5 scored 64.5%; GLM-5 scored 50.4%. Claude Mythos 5 wins this benchmark. - Source ↗
GPQA
KnowledgeA 94.1%B 86%Winner: Claude Mythos 5Δ 8.1GPQA: Claude Mythos 5 scored 94.1%; GLM-5 scored 86%. Claude Mythos 5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Mythos 5 | GLM-5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Mythos 5$10 input / $50 output | GLM-5$1 input / $3.2 output | GLM-5 has the lower combined listed price. |
| Generation speedtokens per second | Claude Mythos 5Not available | GLM-574 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Mythos 5Not available | GLM-51.64 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Mythos 51M+ | GLM-5200K | Claude Mythos 5 lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Mythos 5 wins16 benchmarks
| Benchmark | Claude Mythos 5 | GLM-5 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 88% | 56.2% | Claude Mythos 5 leads |
| OSWorld-VerifiedSource | 85% | — | Not comparable |
| BrowseCompSource | 88% | — | Not comparable |
| ExploitGymSource | 17.5% | — | 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% | Not comparable |
| CyberGymSource | — | 43.2% | Not comparable |
| APEX-Agents-AASource | — | 14.5% | Not comparable |
| Gert LabsSource | — | 50.99% | Not comparable |
CodingClaude Mythos 5 wins8 benchmarks
| Benchmark | Claude Mythos 5 | GLM-5 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 95.5% | 77.8% | Claude Mythos 5 leads |
| SWE-bench ProSource | 80.3% | 55.1% | Claude Mythos 5 leads |
| Terminal-Bench 2.0Source | 88.0% | — | Not comparable |
| SWE-bench Verified*Source | — | 72.8% | 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% | Not comparable |
Reasoning4 benchmarks
KnowledgeClaude Mythos 5 wins13 benchmarks
| Benchmark | Claude Mythos 5 | GLM-5 | Result |
|---|---|---|---|
| GPQASource | 94.1% | 86% | Claude Mythos 5 leads |
| HLESource | 64.5% | 50.4% | Claude Mythos 5 leads |
| HLE w/o toolsSource | 59% | — | 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 |
| Artificial Analysis Intelligence IndexSource | — | 39.5% | Not comparable |
| AA-GPQA DiamondSource | — | 82.0% | Not comparable |
| AA-HLESource | — | 27.2% | Not comparable |
| AA-Omniscience IndexSource | — | 2.0% | Not comparable |
| AA-Omniscience AccuracySource | — | 26.9% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 34.0% | Not comparable |
MathClaude Mythos 5 wins9 benchmarks
| Benchmark | Claude Mythos 5 | GLM-5 | Result |
|---|---|---|---|
| USAMO 2026Source | 97.6% | — | Not comparable |
| 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 |
Multilingual3 benchmarks
Multimodal4 benchmarks
Frequently Asked Questions (5)
Which is better, Claude Mythos 5 or GLM-5?
Claude Mythos 5 is ahead on BenchLM's BenchAlign leaderboard, 83.93 to 66.06. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 88% and 56.2%.
Which is better for knowledge tasks, Claude Mythos 5 or GLM-5?
Claude Mythos 5 has the edge for knowledge tasks in this comparison, averaging 68.5 versus 66.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Mythos 5 or GLM-5?
Claude Mythos 5 has the edge for coding in this comparison, averaging 89.7 versus 66.3. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for math, Claude Mythos 5 or GLM-5?
Claude Mythos 5 has the edge for math in this comparison, averaging 97.6 versus 56.3. GLM-5 stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, Claude Mythos 5 or GLM-5?
Claude Mythos 5 has the edge for agentic tasks in this comparison, averaging 87 versus 56.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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