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ModelCap

Inference provider

AkashML: AI models and API pricing

Every tracked model AkashML serves through OpenRouter, with AkashML's own input and output price per 1M tokens, the context window it serves, disclosed quantization and measured endpoint uptime. Rows link to the model page, where every provider's deployment is listed side by side.

Snapshot as of 11 August 2026

AkashML serves 4 tracked models through 4 endpoints as of 11 August 2026; the highest-ranked is GLM 5.2 (ModelCap Index #13); mean measured uptime is 97.72%.

Models served
4
On the ModelCap Index
3
Cheapest output price
$0.40/1M

Language models on AkashML (4)

Ranked models first, in ModelCap Index order. Prices are the lowest AkashML lists for the model; the endpoint count shows how many deployments carry it.

Language models served by AkashML, with price, context, quantization and uptime
#ModelModelCap IndexInput $/1MOutput $/1MContextQuantizationUptime (30 min)Endpoints
1GLM 5.2Z.ai#1370.5$0.77$2.4297Kfp898.16%1Open weights
2Qwen3.6 35B A3BQwen#4146.3$0.14$1.00262Kfp899.93%1Open weights
3Llama 3.3 70B InstructMeta#19320.3$0.13$0.40131Kfp892.79%1
4Qwen3.5-35B-A3BQwen$0.14$1.00262Kfp8100.0%1Open weights

AkashML on ModelCap: common questions

How many AI models does AkashML serve?

4 tracked models as of 11 August 2026: 4 language models (3 with a public ModelCap Index position), across 4 live endpoints observed through OpenRouter.

What is the best model available on AkashML?

GLM 5.2 from Z.ai is the highest-ranked language model AkashML serves, at ModelCap Index position #13 and $2.42 per 1M output tokens on AkashML. The table lists every model in Index order.

What is the cheapest model on AkashML?

Llama 3.3 70B Instruct at $0.40 per 1M output tokens ($0.13 per 1M input), the lowest positive language-token price AkashML lists. Free-tier endpoints, where present, show as $0 and are excluded from that comparison.

Which AkashML model has the largest context window?

Qwen3.6 35B A3B, served with a 262K-token context window on AkashML. Providers sometimes serve less than the model's published maximum, so the figure here is the provider's own.

How reliable is AkashML?

Mean measured uptime across AkashML endpoints is 97.72% over the last 30 minutes, as reported by OpenRouter at the time of the snapshot. Per-model uptime is in the table; it is a live operational signal, not a service-level guarantee.

Where do the AkashML prices come from?

From the OpenRouter catalogue entry for each AkashML endpoint, in USD per 1M tokens, re-observed on every ModelCap refresh. Where AkashML exposes several deployments of one model at different prices, the table shows the lowest and notes the count; the model page lists each deployment.

How current is this page?

It re-renders within a minute of every dataset refresh; this snapshot was published 11 August 2026. Offers retained from a failed refresh are marked stale in the data and are not counted here.

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