--- title: "GLM 5.3 FlashX AI model: facts and benchmarks | Kendr" canonical: "https://kendr.org/models/z-ai-glm-5-3-flashx" date_modified: "2026-10-13" profile_kind: "reference" --- # GLM 5.3 FlashX model profile GLM 5.3 FlashX is a Z.ai model profile with a 1,048,576-token context window. The dated catalog snapshot records text, image, video modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling. GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture (320B total parameters, 18B active), it is suited for efficient coding, visual understanding, and long-horizon agent tasks with a 1M-token context window. GLM 5.3 FlashX is a reference profile: Z.ai publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. GLM 5.3 FlashX is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt. GLM 5.3 FlashX accepts text, image, and video and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, tool calling, video input, and vision as capabilities or interfaces. The dated reference snapshot lists $0.37 input and $1.25 output per million tokens. Cached input is $0.09 per million tokens. No comparable third-party benchmark value is present in the 2026-10-13 snapshot. Missing values are not estimated. GLM 5.3 FlashX ranked #59 in the cited trailing-7-day third-party catalog usage dataset as of 2026-10-13. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. Profile data was reviewed for the 2026-10-13 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated. ## Profile facts - **Profile type:** Model research profile - **Provider or publisher:** Z.ai - **Context window:** 1,048,576 tokens - **Snapshot date:** 2026-10-13 - **Knowledge cutoff:** Not disclosed - **Reference catalog ID:** z-ai/glm-5.3-flashx ## When to pick GLM 5.3 FlashX GLM 5.3 FlashX is a reference profile: Z.ai publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. Each condition below is derived from this model's own values in the 2026-10-13 snapshot, compared only against models publishing the same field. - Reach for it when a whole corpus has to fit in one prompt. The 1.05M-token context window is in the top quarter of the 167 models publishing a limit here, so long documents can go in whole rather than chunked. - Reach for it when the input includes images. The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described. - Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose. - Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr. - Look elsewhere when the request is trivial and latency-sensitive. Reasoning is mandatory on this route and cannot be turned off, so short factual requests still pay reasoning tokens and reasoning latency. ## Context, modalities, and identity GLM 5.3 FlashX accepts text, image, and video and returns text. The snapshot records prompt caching, reasoning controls, structured output, text generation, tool calling, video input, and vision as capabilities or interfaces. - **Provider or publisher:** Z.ai - **Context window:** 1,048,576 tokens - **Maximum output:** 131,072 tokens - **Input modalities:** text, image, and video - **Output modalities:** text - **Knowledge cutoff:** Not disclosed ## Model overview GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture (320B total parameters, 18B active), it is suited for efficient coding, visual understanding, and long-horizon agent tasks with a 1M-token context window. - **Reference model ID:** z-ai/glm-5.3-flashx - **Canonical version:** z-ai/glm-5.3-flashx-20260918 - **Hugging Face ID:** Not separately documented ## Capabilities and supported controls Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route. - **Supported parameters:** include_reasoning, max_tokens, reasoning, reasoning_effort, response_format, temperature, tool_choice, tools, top_k, top_p - prompt caching - reasoning controls - structured output - text generation - tool calling - video input - vision ## Dated pricing snapshot The dated reference snapshot lists $0.37 input and $1.25 output per million tokens. Cached input is $0.09 per million tokens. These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price. - **Price date:** 2026-10-13 - **Input:** $0.37 per 1M tokens - **Cached input:** $0.09 per 1M tokens - **Output:** $1.25 per 1M tokens ## Provider routes, performance, and uptime The snapshot retains 1 provider endpoint. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees. - **Active provider endpoints:** 1 - **Best p50 latency:** 2.27 s - **Best p50 throughput:** 85 tok/s - **Availability with routing:** 99.92% over the sampled window - **Availability without routing:** 99.54% over the sampled window - **Performance date:** 2026-10-13 | Provider | Quantization | Input / 1M | Output / 1M | Cache read / 1M | Context | p50 latency | p50 throughput | Uptime (1d) | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Z.ai | fp8 | $0.37 / 1M | $1.25 / 1M | $0.09 / 1M | 1,048,576 tokens | 2.27 s | 85 tok/s | 100.00% | ## Benchmark evidence and limitations No comparable third-party benchmark value is present in the 2026-10-13 snapshot. Missing values are not estimated. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source. ## Popularity and market context GLM 5.3 FlashX ranked #59 in the cited trailing-7-day third-party catalog usage dataset as of 2026-10-13. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. - **Third-party catalog rank:** #59 - **Global market share:** Not inferred - **Observation date:** 2026-10-13 ## Frequently asked questions ### When should I use GLM 5.3 FlashX? GLM 5.3 FlashX is a reference profile: Z.ai publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. Reach for it when a whole corpus has to fit in one prompt: The 1.05M-token context window is in the top quarter of the 167 models publishing a limit here, so long documents can go in whole rather than chunked. Reach for it when the input includes images: The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described. Reach for it when the model has to call tools: Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose. Look elsewhere when you need to call it through Kendr today: This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr. Look elsewhere when the request is trivial and latency-sensitive: Reasoning is mandatory on this route and cannot be turned off, so short factual requests still pay reasoning tokens and reasoning latency. ### What is GLM 5.3 FlashX? GLM 5.3 FlashX is a Z.ai model profile with a 1,048,576-token context window. The dated catalog snapshot records text, image, video modalities and interfaces for prompt caching, reasoning controls, structured output, text generation, tool calling. ### What context window does GLM 5.3 FlashX have? The dated profile lists 1,048,576 tokens of context and up to 131,072 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits. ### What benchmark evidence is available for GLM 5.3 FlashX? No comparable third-party benchmark value is present in the 2026-10-13 snapshot. Missing values are not estimated. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source. ### Is GLM 5.3 FlashX available through Kendr? This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases. ### Does the popularity rank represent GLM 5.3 FlashX's global market share? GLM 5.3 FlashX ranked #59 in the cited trailing-7-day third-party catalog usage dataset as of 2026-10-13. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. No global market-share percentage is inferred when the source does not publish one. ## Sources and evidence dates - [GLM 5.3 FlashX third-party catalog record](https://openrouter.ai/z-ai/glm-5.3-flashx) — catalog, checked 2026-10-13 - [Third-party model catalog methodology](https://openrouter.ai/docs/guides/overview/models) — methodology, checked 2026-10-13 - [Z.ai official model documentation](https://docs.z.ai/guides/overview/overview) — primary, checked 2026-10-13 Live Kendr operational availability is published separately at https://api.kendr.org/api/public/models.