Kimi K3 vs GLM 5
At a Glance
| Compare | Kimi K3Moonshot AI | GLM 5Z.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #17 of 4670.3 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #30 of 44$0.194 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #21 of 3852.5 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.85Deepinfra ↗ · Sep 22, 2026 | $0.60Deepinfra ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $14.25Deepinfra ↗ · Sep 22, 2026 | $1.92Openrouter ↗ · Aug 28, 2026 |
| Context windowMaximum documented tokens | 1,049K | 203K |
| Model facts checked | Aug 28, 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 | Kimi-K3 | GLM-5 |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,472.27100% of row best · rating · kimi-k3-max; 95% CI [1467.05577758, 1477.48944277]; votes 20987; rank 23 | 1,446.2798% of row best · rating · glm-5; 95% CI [1441.95071870, 1450.59229773]; votes 27605; rank 51 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 88.19100% of row best · points · Kimi K3 · 15,023 output tokens / case | 82.8994% of row best · points · GLM-5 · 15,496 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winNo overall winner | 0 benchmark winsNo overall winner |
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 | Kimi-K3 | GLM-5 |
|---|---|---|
| Developer | Moonshot AI | Z.ai |
| Family | Kimi K3 | Glm 5 |
| Model | Kimi-K3 | GLM-5 |
| Version | Kimi-K3 | GLM-5 |
| Lifecycle | active | active |
| Released | 2026-07-16 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 1,049K | 203K |
| Total parameters | 2.8T | 753.9B |
| Active parameters | 104B | Unknown |
| License | other | mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, reasoning, tools |
Kimi K3 Capabilities
GLM 5 Capabilities
Primary Evidence
Sources and Freshness
Questions
Kimi K3 vs GLM 5 FAQs
Is Kimi K3 or GLM 5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K3 and GLM 5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Kimi K3 or GLM 5?+
Kimi K3 is $2.85 and GLM 5 is $0.60 per million tokens, so GLM 5 is cheaper on this metric. Kimi K3 is $14.25 and GLM 5 is $1.92 per million tokens, so GLM 5 is cheaper on this metric.
Which has a larger context window, Kimi K3 or GLM 5?+
Kimi K3 has the larger sourced context window. Kimi K3 supports 1,049K and GLM 5 supports 203K.
Which performs better in benchmarks, Kimi K3 or GLM 5?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Kimi K3 or GLM 5 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Kimi K3 is open weight; GLM 5 is open weight.
Can Kimi K3 and GLM 5 understand images?+
Kimi K3 is documented with image input; GLM 5 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Kimi K3 or GLM 5?+
Neither has a larger sourced maximum output. Kimi K3 is — and GLM 5 is —.
Do Kimi K3 and GLM 5 support reasoning and tool use?+
Kimi K3: reasoning and image input. GLM 5: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Kimi K3 or GLM 5?+
Kimi K3 has 5 sourced provider routes; GLM 5 has 4, so Kimi K3 has broader tracked availability.
Which offers better value, Kimi K3 or GLM 5?+
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.