Inkling vs GLM 5.2
At a Glance
| Compare | InklingThinking Machines Lab | GLM 5.2Z.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #34 of 4645.4 score · 3/3 sources · complete | #23 of 4661.9 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 41.3–74.6 |
| CostLower is better · Published-token output estimate | #18 of 44$0.090 per LiveBench case | #12 of 44$0.056 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #28 of 3848.1 score · 3/3 sources · complete | #7 of 3861.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 51.0–67.6 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.95Deepinfra ↗ · Sep 22, 2026 | $0.75Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $4.05Deepinfra ↗ · Sep 22, 2026 | $2.40Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,049K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Inkling | GLM-5.2 |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | -10.0286% of row best · score · Inkling; 95% CI [-10.93664189, -9.10513108]; sessions 42313; observations 1624204; rank 42 | 4.37100% of row best · score · GLM 5.2 (Max); 95% CI [3.67608698, 5.05982987]; sessions 76766; observations 4943866; rank 14 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,439.6898% of row best · rating · inkling; 95% CI [1434.76600975, 1444.58550789]; votes 25922; rank 67 | 1,466.93100% of row best · rating · glm-5.2-max; 95% CI [1462.35303996, 1471.51268346]; votes 36798; rank 29 |
| LiveBench2026-06-25 · overall · leader | 76.4799% of row best · percent · inkling-xhigh · 22,213 output tokens / case | 76.96100% of row best · percent · glm-5.2 · 23,463 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 79.4197% of row best · points · Inkling · 5,785 output tokens / case | 82.14100% of row best · points · GLM-5.2 · 5,633 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 3 benchmark winsOverall lead |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Inkling | GLM-5.2 |
|---|---|---|
| Developer | Thinking Machines Lab | Z.ai |
| Family | Inkling | Glm 5 2 |
| Model | Inkling | GLM-5.2 |
| Version | Inkling | GLM-5.2 |
| Lifecycle | active | active |
| Released | 2026-07-15 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,049K |
| Total parameters | 975B | 753.3B |
| Active parameters | 41B | Unknown |
| License | apache-2.0 | mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | agents, chat, coding, generation, reasoning, tools, vision | chat, generation, reasoning, tools |
Inkling Capabilities
GLM 5.2 Capabilities
Primary Evidence
Sources and Freshness
Questions
Inkling vs GLM 5.2 FAQs
Is Inkling or GLM 5.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Inkling and GLM 5.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Inkling or GLM 5.2?+
Inkling is $0.95 and GLM 5.2 is $0.75 per million tokens, so GLM 5.2 is cheaper on this metric. Inkling is $4.05 and GLM 5.2 is $2.40 per million tokens, so GLM 5.2 is cheaper on this metric.
Which has a larger context window, Inkling or GLM 5.2?+
Neither model has a larger sourced context window in this comparison. Inkling is 1,049K and GLM 5.2 is 1,049K.
Which performs better in benchmarks, Inkling or GLM 5.2?+
GLM 5.2 leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Inkling or GLM 5.2 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Inkling is open weight; GLM 5.2 is open weight.
Can Inkling and GLM 5.2 understand images?+
Inkling is documented with image input; GLM 5.2 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Inkling or GLM 5.2?+
Neither has a larger sourced maximum output. Inkling is — and GLM 5.2 is —.
Do Inkling and GLM 5.2 support reasoning and tool use?+
Inkling: reasoning, tool calling, and image input. GLM 5.2: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Inkling or GLM 5.2?+
Inkling has 4 sourced provider routes; GLM 5.2 has 5, so GLM 5.2 has broader tracked availability.
Which offers better value, Inkling or GLM 5.2?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.