GLM-5.3 is Z.ai’s reasoning model for long-horizon coding and agentic tasks, with a 1M-token context window. Serving it at scale raises practical questions about cost per token, output speed, and how long a request waits before the first answer token arrives.

This guide compares nine providers that offer GLM-5.3. Speed and latency figures come from Artificial Analysis benchmarks on a 10,000-token prompt, and pricing and features come from each provider’s published documentation. Because GLM-5.3 always reasons before answering, time to first answer token includes thinking time, so it runs well above the time to first chunk.

Summary of the Best GLM-5.3 Providers

A quick reference by priority:

Provider	Best For
DeepInfra	Lowest blended price of the 22 benchmarked providers, plus JSON mode, function calling, and private endpoints.
Z.ai	Direct first-party access and GLM Coding Plan subscriptions.
Fireworks AI	Fast output speed with a short wait to the first answer token.
GMI Cloud	Teams that want serverless inference and bare-metal GPU rental on one platform.
FriendliAI	High-throughput agent workloads backed by a published 99.99% uptime SLA.
Together AI	Serverless and dedicated deployments with a 99.9% SLA and three reasoning effort levels.
Telnyx	Teams already on Telnyx’s network that want inference on the same infrastructure.
Inco	The fastest output speed and lowest latency, at the highest blended price.
DigitalOcean	Teams already on DigitalOcean that want GLM-5.3 beside 70+ other models.

Detailed Reviews of GLM 5.3 Providers

DeepInfra

DeepInfra is the best overall pick when cost per task drives the decision. Artificial Analysis lists it at $0.72 per 1M tokens blended, the lowest of the 22 providers it tracks for GLM-5.3.

• Blended price: $0.72 per 1M tokens (7:2:1 cache, input, and output blend), lowest of 22 providers
• Current rates: $0.563 input, $2.50 output, and $0.125 cached per 1M tokens with a 38% promotion applied (list: $0.90, $4.00, and $0.20)
• Flex tier: $0.45 input, $2.00 output, and $0.10 cached per 1M tokens, a further 20% off
• Context: 1,048,576 tokens
• Measured speed: 185 tokens per second and a 1.01-second median first chunk
• Features: JSON mode, function calling, fp4 quantization, and zero data retention
• Deployment: Public endpoint, or a private endpoint for dedicated capacity

The cached input rate matters most for agentic and RAG workloads, which resend large prompt prefixes on every turn. At $0.125 per 1M tokens, cached input costs about 78% less than the promotional input rate. The full rate card, including Flex, is on DeepInfra’s pricing page, and the GLM-5.3 API reference covers reasoning_effort and the OpenAI-compatible endpoint. Measured output speed sits mid-field, so applications that need the fastest streaming should weigh Inco (FAST) or Fireworks AI.

Z.ai

Z.ai is the model’s creator and offers first-party API access. The same API underpins its GLM Coding Plan subscriptions.

• Context: 1M-token context window with up to 128K output tokens
• Reasoning: Three reasoning_effort levels (low, high, and max), with max as the default. Thinking cannot be disabled
• Protocols: OpenAI Chat Completion, OpenAI Response, and Anthropic Message endpoints
• Pricing: $1.40 input, $4.40 output, and $0.26 cached per 1M tokens
• Coding plans: Lite, Pro, and Max tiers, starting at $18 per month
• Measured speed: 92 tokens per second and a 2.60-second median first chunk

Z.ai ships new releases first and supports the coding plans directly. Its per-token rates run above DeepInfra’s current listing. GLM-5.3 shares its base model with GLM-5.2, which DeepInfra covers in its GLM-5.2 model overview.

Fireworks AI

Fireworks AI ranks fourth for output speed in Artificial Analysis testing and offers a shorter wait to the first answer token than most providers.

• Output speed: 245.7 tokens per second, fourth of 22 providers
• Latency: 0.88-second median first chunk and 9.02 seconds to first answer token, fourth-lowest
• Context: 1.05M tokens
• Features: Function calling and JSON mode
• Platform: Serverless and on-demand deployments, with LoRA fine-tuning available

Fireworks pairs high throughput with one of the shorter waits to the first answer token, which suits interactive applications. Inco and Nebius post higher raw throughput.

GMI Cloud

GMI Cloud combines serverless inference with bare-metal GPU rental on one platform.

• Platform: Serverless and dedicated inference alongside bare-metal NVIDIA GPUs, including H100, H200, and B200
• Context: 1M tokens
• Measured speed: 91 tokens per second and a 1.93-second median first chunk
• Features: Function calling and JSON mode

GMI suits teams that train or fine-tune on rented GPUs and want to serve the result from the same platform. Its measured GLM-5.3 throughput sits near the bottom of the field, second-lowest of 22 providers.

FriendliAI

FriendliAI serves GLM-5.3 through its Model APIs, with dedicated endpoints available for reserved capacity.

• Output speed: 237.2 tokens per second, fifth of 22 providers
• Latency: 1.13-second median first chunk
• Context: 1M tokens
• Vendor claims: A 99.99% uptime SLA, 2-5x faster output, and 50-90% lower inference cost, per FriendliAI’s own materials
• Features: OpenAI-compatible API, function calling, and JSON mode

FriendliAI publishes its uptime and speed claims platform-wide, so validate them on your own GLM-5.3 workload. The Artificial Analysis figures above are the independent reference point.

Together AI

Together AI offers GLM-5.3 on serverless and dedicated infrastructure.

• Context: 1M tokens
• Pricing: $1.40 input, $4.40 output, and $0.26 cached per 1M tokens
• Reasoning: Three effort levels (low, high, and max), set per request, with max as the default
• Reliability: 99.9% SLA
• Compatibility: Works with Claude Code, OpenCode, and other coding agent platforms
• Measured speed: 137 tokens per second and a 1.08-second median first chunk

Together AI charges the same per-token rates as Z.ai’s first-party API. Its SLA and dedicated option suit production agents that need contractual uptime.

Telnyx

Telnyx runs GLM-5.3 on GPUs it owns and operates, reachable through an OpenAI-compatible Chat Completions API.

• Model ID: zai-org/GLM-5.3
• Pricing: $1.40 input, $4.40 output, and $0.26 cached per 1M tokens
• Context: 1M tokens
• Infrastructure: Telnyx-owned GPUs on the same private backbone as its voice and messaging traffic
• Benchmarks: Artificial Analysis does not currently publish GLM-5.3 results for Telnyx

Telnyx suits teams already using its voice or messaging network, since inference stays on the same infrastructure. Independent speed data is not yet available.

Inco

Inco leads Artificial Analysis’s speed and latency rankings for GLM-5.3 through its Inco (FAST) tier.

• Output speed: 428.1 tokens per second, fastest of 22 providers and 9.7x faster than DigitalOcean
• Latency: 5.42 seconds to first answer token, lowest of 22 providers
• Blended price: $1.80 per 1M tokens, the highest in the field and 2.5x DeepInfra’s $0.72
• Features: JSON mode and function calling

Inco (FAST) suits real-time applications where response speed outweighs cost. Budget-sensitive workloads will find it the most expensive option.

DigitalOcean

DigitalOcean offers GLM-5.3 through Serverless Inference, alongside more than 70 other models on one endpoint.

• Pricing: $1.40 input, $4.40 output, and $0.26 cached per 1M tokens, matching Z.ai’s first-party rates
• Catalog: 70+ open-weight and frontier models behind one endpoint
• Routing: Inference Router, currently in public preview
• Billing: Prepaid balance required for serverless inference
• Measured speed: 44.4 tokens per second and a 1.09-second median first chunk, the slowest output speed of the 22 providers

DigitalOcean fits teams already running on its cloud who want GLM-5.3 next to other models under one bill. Latency-sensitive workloads should look at faster providers.

Final Thoughts

The right GLM-5.3 provider depends on which constraint binds first: price, speed, or platform fit. Measure latency as time to first answer token, since thinking time dominates the wait.

• Lowest price: DeepInfra leads Artificial Analysis’s blended price ranking at $0.72 per 1M tokens, with a promotion and a Flex tier on top of list pricing.
• Fastest responses: Inco (FAST) leads output speed and latency but carries the highest blended price. Fireworks AI and FriendliAI rank fourth and fifth on output speed.
• Direct access: Z.ai offers the first-party API and the Lite, Pro, and Max coding plans.
• Existing platform: DigitalOcean, Telnyx, and GMI Cloud suit teams already running on those platforms.

DeepInfra is the best overall pick when cost per task decides the choice. It pairs the lowest blended price in Artificial Analysis’s ranking with JSON mode, function calling, cached input at $0.125 per 1M tokens, and private endpoints. Workloads that need the fastest streaming should benchmark Inco (FAST) or Fireworks AI first.

Lighter workloads can run on GLM-5.3-Flash at a lower per-token price. Teams comparing generations can review DeepInfra’s GLM-5.2 pricing and cost comparison, and qualifying startups can apply to DeepStart for up to 1 billion free tokens.