Model comparison
GLM-5 vs Inkling
Head-to-head evidence from 17 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GLM-5 #28 (Supported); Inkling #20 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-5 and Inkling share 17 comparable benchmark results. 5 of 8 categories are comparable. 32 results are unique to GLM-5; 15 to Inkling.
Updated July 23, 2026- Shared results
- 17
- GLM-5 only
- 32
- Inkling only
- 15
- Comparable categories
- 5 / 8
Pick Inkling if you want the stronger benchmark profile. GLM-5 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 5 evidence categories; 5 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Inkling has the cleaner BenchAlign overall profile here, landing at 67.54 versus 66.06. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Inkling's sharpest advantage is in mathematics, where it averages 97.1 against 56.3. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 56.2% to 63.8%. GLM-5 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Inkling is also the more expensive model on tokens at $1.87 input / $4.68 output per 1M tokens, versus $1.00 input / $3.20 output per 1M tokens for GLM-5. Inkling 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. Inkling 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 | GLM-5 | Δ | Inkling |
|---|---|---|---|
| Math | GLM-556.3 | Margin→ 40.8 | Inkling97.1 |
| Knowledge | GLM-566.4 | Margin← 14.8 | Inkling51.6 |
| Agentic | GLM-556.2 | Margin→ 13.2 | Inkling69.4 |
| Inst. Following | GLM-592.6 | Margin← 12.8 | Inkling79.8 |
| Coding | GLM-566.3 | Margin→ 2.3 | Inkling68.6 |
| Reasoning | GLM-560.8 | MarginNo overlap | InklingNot measured |
| Multilingual | GLM-583.1 | MarginNo overlap | InklingNot measured |
| Multimodal | GLM-5Not measured | MarginNo overlap | Inkling76.5 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 56.2%B 63.8%Winner: InklingΔ 7.6Terminal-Bench 2.0: GLM-5 scored 56.2%; Inkling scored 63.8%. Inkling wins this benchmark. - Source ↗
HLE
KnowledgeA 50.4%B 46%Winner: GLM-5Δ 4.4HLE: GLM-5 scored 50.4%; Inkling scored 46%. GLM-5 wins this benchmark. - Source ↗
GPQA
KnowledgeA 86%B 87.9%Winner: InklingΔ 1.9GPQA: GLM-5 scored 86%; Inkling scored 87.9%. Inkling wins this benchmark. - Source ↗
AIME26
MathA 95.8%B 97.1%Winner: InklingΔ 1.3AIME26: GLM-5 scored 95.8%; Inkling scored 97.1%. Inkling wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 55.1%B 54.3%Winner: GLM-5Δ 0.8SWE-bench Pro: GLM-5 scored 55.1%; Inkling scored 54.3%. 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 | Inkling | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-5$1 input / $3.2 output | Inkling$1.87 input / $4.68 output | GLM-5 has the lower combined listed price. |
| Generation speedtokens per second | GLM-574 tok/s | InklingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-51.64 s | InklingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-5200K | Inkling1M | Inkling lists the larger context window. |
Benchmark Deep Dive
AgenticInkling wins20 benchmarks
| Benchmark | GLM-5 | Inkling | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 56.2% | 63.8% | Inkling leads |
| 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% | 74.1% | Inkling leads |
| 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 |
| BrowseCompSource | — | 77.1% | Not comparable |
| Design Arena Agentic Web DevSource | — | 1257 | Not comparable |
| AA Agentic IndexSource | — | 32.3% | Not comparable |
| GDPval-AASource | — | 36.9% | Not comparable |
| GDPval-AASource | — | 1239 | Not comparable |
| AA BriefcaseSource | — | 836 | Not comparable |
| AA Tau3 BankingSource | — | 23.7% | Not comparable |
CodingInkling wins9 benchmarks
| Benchmark | GLM-5 | Inkling | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 77.8% | 77.6% | GLM-5 leads |
| SWE-bench Verified*Source | 72.8% | — | Not comparable |
| SWE-bench ProSource | 55.1% | 54.3% | GLM-5 leads |
| SWE MultilingualSource | 73.3% | — | Not comparable |
| SWE-RebenchSource | 62.8% | — | Not comparable |
| React Native EvalsSource | 74.8% | — | Not comparable |
| AA-SciCodeSource | 46.2% | 46.1% | GLM-5 leads |
| Terminal-Bench 2.0Source | — | 63.8% | Not comparable |
| AA Coding IndexSource | — | 52.1% | Not comparable |
Reasoning4 benchmarks
KnowledgeGLM-5 wins13 benchmarks
| Benchmark | GLM-5 | Inkling | Result |
|---|---|---|---|
| GPQASource | 86% | 87.9% | Inkling leads |
| GPQA-DSource | 86.0% | 87.9% | Inkling leads |
| SuperGPQASource | 66.8% | — | Not comparable |
| MMLU-ProSource | 85.7% | — | Not comparable |
| MMLU-Pro (Arcee)Source | 85.8% | — | Not comparable |
| HLESource | 50.4% | 46% | GLM-5 leads |
| Artificial Analysis Intelligence IndexSource | 39.5% | 40.7% | Inkling leads |
| AA-GPQA DiamondSource | 82.0% | 87.2% | Inkling leads |
| AA-HLESource | 27.2% | 29.7% | Inkling leads |
| AA-Omniscience IndexSource | 2.0% | 2.1% | Inkling leads |
| AA-Omniscience AccuracySource | 26.9% | 40.0% | Inkling leads |
| AA-Omniscience Hallucination RateSource | 34.0% | 63.1% | GLM-5 leads |
| HLE w/o toolsSource | — | 30% | Not comparable |
MathInkling wins8 benchmarks
| Benchmark | GLM-5 | Inkling | Result |
|---|---|---|---|
| AIME26Source | 95.8% | 97.1% | Inkling leads |
| 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
Multimodal5 benchmarks
Frequently Asked Questions (6)
Which is better, GLM-5 or Inkling?
Inkling is ahead on BenchLM's BenchAlign leaderboard, 67.54 to 66.06. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 56.2% and 63.8%.
Which is better for knowledge tasks, GLM-5 or Inkling?
GLM-5 has the edge for knowledge tasks in this comparison, averaging 66.4 versus 51.6. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, GLM-5 or Inkling?
Inkling has the edge for coding in this comparison, averaging 68.6 versus 66.3. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for math, GLM-5 or Inkling?
Inkling has the edge for math in this comparison, averaging 97.1 versus 56.3. Inside this category, AIME26 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GLM-5 or Inkling?
Inkling has the edge for agentic tasks in this comparison, averaging 69.4 versus 56.2. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
Which is better for instruction following, GLM-5 or Inkling?
GLM-5 has the edge for instruction following in this comparison, averaging 92.6 versus 79.8. Inkling stays close enough that the answer can still flip depending on your workload.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.