Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | 1T | 9B |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 256k | 128k |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.60Novita | — |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $2.50Novita | — |
| $245Novita · fp8 | — | |
| These models have no shared benchmark scores. | ||
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 65.8% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 75.1% | — |
| Overview | ||
| Company | Moonshot AI | Z.ai |
| Release date | Sep 5 2025 | Jun 5 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Kimi K2 (0905)vsClaude Fable 5.2GLM-4-9BvsClaude Fable 5.2Kimi K2 (0905)vsGPT-6.1 TerraGLM-4-9BvsGPT-6.1 TerraKimi K2 (0905)vsGemini 4 HydrogenGLM-4-9BvsGemini 4 HydrogenKimi K2 (0905)vsMuse EmberGLM-4-9BvsMuse EmberKimi K2 (0905)vsGrok 4.7GLM-4-9BvsGrok 4.7Kimi K2 (0905)vsDeepSeek-V4.1-Flash-1017GLM-4-9BvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Kimi K2 (0905) and GLM-4-9B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. GLM-4-9B shipped 457 days before Kimi K2 (0905), so benchmark comparisons should account for the intervening progress.
Kimi K2 (0905) has 1T parameters, while GLM-4-9B has 9B. Context windows are 256k (Kimi K2 (0905)) vs 128k (GLM-4-9B).
Direct benchmark comparisons are unavailable — Kimi K2 (0905) and GLM-4-9B don't publish scores on any of the same benchmarks.