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GLM-4.5 API pricing

6 providers serve GLM-4.5. GLM-4.5 is an open-weight model (MIT) with 355B total parameters, 32B active per token (mixture-of-experts), up to 131K context. Prices below are per 1M tokens, cheapest input first (self-hosting math further down).

Refreshed 2026-08-23 · list prices from provider APIs
Input floor $0.400/1M at DeepInfra Output floor $1.60/1M at DeepInfra Find your workload winner →
Provider Input $/1M Output $/1M Cache read $/1M Context
DeepInfra $0.400 $1.60output floor - 131K Use
Fireworks AI $0.550 $2.19 - 128K Use
Vercel AI Gateway $0.600 $2.20 - 131K Use
Z.ai $0.600 $2.20 - 128K Use
Novita AI $0.600 $2.20 $0.110 131K Use
OpenRouter marketplace quote $0.600 $2.20 $0.110 131K Use

The cheapest way to run GLM-4.5

On an illustrative 70M-input / 30M-output monthly workload, today's lowest listed cost is roughly $76.00/month, at DeepInfra. Input-heavy, output-heavy and cache-heavy workloads can produce different winners. Use the live mix calculator below rather than combining floors from two different providers. On output-token cost alone, a busy self-hosted deployment can work out cheaper (~$0.659/1M output on 3× MI300X). See the math below. Run your own numbers in the breakeven calculator, or read the breakeven math.

Your actual monthly cost

Uses today's list prices

Cache read uses the listed cache rate where available; otherwise it falls back to normal input price. Batch, write-cache, volume and negotiated discounts are excluded.

Or run it yourself: GLM-4.5 self-hosting economics

GLM-4.5 is open-weight (MIT), so the API price above competes with the GPU-hour market. 355B total parameters (MoE, ~32B active per token) needs roughly 489 GB VRAM at FP8 or 245 GB at INT4, KV-cache headroom included.

No single GPU fits GLM-4.5 at FP8 (489 GB needed), so it needs a multi-GPU node. Cheapest tracked option: 3× MI300X (192 GB each) at roughly $1.50/hr total (RunPod). Rent 3× MI300X at RunPod → INT4 quantization drops the requirement to 245 GB. Tune it in the calculator.
Breakeven estimate: a well-batched vLLM deployment on 3× MI300X ($1.50/hr) at ~1265 aggregate tok/s and 50% utilization works out to roughly $0.659 per 1M output tokens, versus $1.60 via the cheapest output-token API (DeepInfra). Self-hosting wins on cost if you can keep the GPU busy. Planning estimate: throughput varies with hardware, quantization, batch size and context. Tune it in the calculator.

Related models

ModelCheapest in $/1MCheapest out $/1MProviders
GLM-4.7 $0.400 $1.50 10
GLM-4.6 $0.400 $1.75 8
GLM-4.5 Air $0.125 $0.450 7
GLM-5.2 $0.610 $1.98 6
GLM-5 $0.800 $2.56 5
GLM-5.1 $1.05 $3.50 4

FAQ

What is the cheapest API for GLM-4.5?

As of 2026-08-23, the lowest input price for GLM-4.5 is DeepInfra at $0.400 per 1M input tokens. The lowest output price is DeepInfra at $1.60 per 1M output tokens. The cheapest provider for a real workload depends on its input/output mix. The next-lowest input price is Fireworks AI at $0.550, a 38% difference.

How much VRAM do you need to self-host GLM-4.5?

GLM-4.5 has 355B parameters, so plan for roughly 489 GB of VRAM at FP8 or 245 GB at INT4/AWQ, KV-cache headroom included. That exceeds a single GPU. A typical node is 3× MI300X.

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