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Which Model Offers Better API Value Than grok-4.5 in 2026?

At the listed base rate, grok-4.5 costs $2 per 1M input tokens and $6 per 1M output tokens, with cache hits priced at $0.5 per 1M tokens. The cheapest option depends on your input-to-output mix and the user group multiplier applied to your account.

How much does grok-4.5 cost compared with similar models?

The pricing endpoint lists grok-4.5 at $2 per 1M input tokens, $6 per 1M output tokens, and $0.5 per 1M cache-hit tokens. These are base prices in USD per 1M tokens. The endpoint data was pulled on August 4, 2026 at 16:16:08 UTC.

For a same-table comparison, grok-4 is $3 input and $15 output; grok-4.3 is $1.25 input and $2.5 output; gpt-5.1 is $1.25 input and $10 output with $0.125 cache hits; claude-sonnet-5 is $2 input and $10 output with $0.2 cache hits; gemini-2.5-pro is $1.25 input and $10 output with $0.125 cache hits; and deepseek-v4-pro is $3 input and $6 output with $0.0252 cache hits.

The comparison shows why there is no single cheapest model for every workload. grok-4.3 has a lower listed output price, while grok-4.5 has a lower output price than grok-4 and deepseek-v4-pro. The table contains base rates rather than a promise of final account billing.

What is the monthly cost for a typical grok-4.5 workload?

For 10M input tokens and 2M output tokens in one month, the grok-4.5 base calculation is 10 × $2 + 2 × $6 = $32. This is the pre-multiplier amount. With the default group multiplier of ×0.07353, the same calculation is $32 × 0.07353 = $2.35296.

The group changes the result. With the huawei-grok multiplier of ×0.41177, the calculation is $32 × 0.41177 = $13.17664. With the Xai-Grok-1 multiplier of ×0.44118, it is $32 × 0.44118 = $14.11776. Use the group assigned to the account when estimating an actual bill.

A second example with 1M input tokens and 1M output tokens is 1 × $2 + 1 × $6 = $8 at the base rate. The default-group estimate is $8 × 0.07353 = $0.58824. These examples exclude any charges or rules not present in the supplied pricing data.

Is grok-4.5 cheaper enough to justify its trade-offs?

The supplied facts establish prices, model type, vendor, and cache-hit pricing, but they do not provide verified context length, latency, rate limits, benchmark scores, or capability comparisons for grok-4.5. Those dimensions are Not yet measured here, so price alone cannot establish that it is the right production choice.

A lower input rate can matter when requests contain large prompts, retrieved documents, or repeated conversation history. A lower output rate matters when responses are long. Compare your own input and output token distribution before switching models; a model with a lower input price may still cost more for output-heavy traffic.

The model listing identifies grok-4.5 as a Grok (xAI) text model. Whether its speed, context behavior, tool use, or task quality meets your workload is Not yet measured from the supplied facts. Validate those properties with representative requests before treating a price comparison as a capability decision.

How can you reduce grok-4.5 API spending?

Use cache hits for content that is sent repeatedly, such as stable instructions or shared context, when your request path and model integration support cache handling. grok-4.5 lists cache hits at $0.5 per 1M tokens versus $2 per 1M input tokens, but the achievable cache-hit ratio is Not yet measured.

Route each task to a model whose price matches its actual requirement. For example, compare grok-4.5 with grok-4.3 or the other listed models using the same token mix and an evaluation set. Do not switch solely because one side of the price pair is lower.

Batch processing can reduce operational overhead when the upstream service supports it and the workload does not require interactive latency. Batch availability, batch pricing, and any scheduling behavior for grok-4.5 are Not yet measured, so confirm them before including batch savings in a budget.

When can grok-4.5 pricing change, and where should you verify it?

The current figures are a snapshot from the pricing endpoint at https://api.openlux.ai/api/pricing, pulled on August 4, 2026 at 16:16:08 UTC. Check that endpoint again before committing to a budget or publishing a price claim.

Verify three values together: the grok-4.5 base input price, the base output price, and the cache-hit price. Then verify the account's assigned group multiplier. The final price is the base price multiplied by that group multiplier, so quoting the base table alone can misstate the amount charged to a user.

The panel lists 452 models in total and the supplied table shows only the 150 models with the highest call volume; 302 models are not shown in that table. This page therefore compares selected listed models and does not claim that the service supports only those models. A free tier or free API key is Not yet measured in the supplied pricing data.

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Last updated 2026-08-05　|　Written and maintained by OpenLux.
Latency and pricing figures come from our own measurements. Where they differ from the vendor's site, the vendor's live page wins.