PriceIndex

AI model capabilities

AI models that support parallel tool calls

Discover models with a listed parallel-call control for multi-tool workflows. Compare 14 supporting models by input price, output price, context window and published intelligence. Find the cheapest option for a reference text workload, then check the serving API before you build.

14 supporting models6 AI providersUSD · prices per 1M tokens

Lowest reference cost

GLM 5.3 Flash

$0.05

1M input + 250K output tokens. Tool fees and discounts excluded.

Highest published intelligence

GLM 5.3

44.8 AA Intelligence Index

Among supporting models with a published score; not a capability-specific benchmark.

Cheapest AI models with parallel tool calls

Ranked by the cost of 1 million input and 250,000 output tokens at standard rates. A different token mix can change the cheapest model. Support requires an explicitly listed catalog feature, not an inference from a model family.

GLM 5.3 FlashZ.ai
Input /1M
$0.03
Output /1M
$0.08
Reference cost
$0.05
Context
1M
AA Intelligence
41.8
Solar Mini 4Upstage
Input /1M
$0.05
Output /1M
$0.20
Reference cost
$0.10
Context
524K
AA Intelligence
—
Solar Pro 3Upstage
Input /1M
$0.15
Output /1M
$0.60
Reference cost
$0.30
Context
131K
AA Intelligence
—
Solar Pro 4Upstage
Input /1M
$0.15
Output /1M
$0.60
Reference cost
$0.30
Context
524K
AA Intelligence
—
GLM 5.3Z.ai
Input /1M
$0.70
Output /1M
$1.40
Reference cost
$1.05
Context
1M
AA Intelligence
44.8
Hy4 previewTencent
Input /1M
$0.75
Output /1M
$2.25
Reference cost
$1.31
Context
1M
AA Intelligence
—
Kimi K2.6MoonshotAI
Input /1M
$0.65
Output /1M
$3.41
Reference cost
$1.50
Context
262K
AA Intelligence
27
GLM 5.2Z.ai
Input /1M
$0.20
Output /1M
$6.80
Reference cost
$1.90
Context
1M
AA Intelligence
33.7
Kimi K3MoonshotAI
Input /1M
$3.00
Output /1M
$16
Reference cost
$7.00
Context
1M
AA Intelligence
43.6

14 matching models · Missing intelligence scores are shown as —.

What is parallel tool calls?

Parallel tool calls allow multiple function requests in one model turn through a supported API. Your application still controls execution and combines returned results. Independent operations may be suitable for parallel execution, while dependent or state-changing operations require careful sequencing.

Before choosing a model

  • Only run independent operations concurrently.
  • Set timeouts and handle partial failures for each requested tool.
  • Confirm the model and API support the parallel-call setting together.

Estimate your actual workload

Use your request volume and prompt and response sizes to compare monthly text-token costs. Add any search, external tool or provider-specific charges separately. Standard token prices do not assume cache hits or batch discounts.

LLM token cost calculator Pricing methodology

Parallel tool calls FAQs

14 active models with positive input and output prices currently list parallel tool calls in the PriceIndex catalog. The table lists every match. A model is included only when its tracked feature data explicitly lists this capability; missing data is not treated as support.

GLM 5.3 Flash has the lowest estimated text-token cost in this list for 1 million input tokens and 250,000 output tokens: $0.0543. A different input/output mix can change the ranking. This excludes tool fees, caching, discounts and taxes.

No. Capability availability can differ between serving APIs and model versions. Follow a model’s API documentation link and verify the exact version, endpoint and settings before choosing it.

We use standard USD input and output token prices: input price × 1 million tokens plus output price × 250,000 tokens, divided by 1 million. The directory excludes retired models, missing prices and zero-priced entries. Published AA Intelligence Index scores are shown when available and never estimated.

Only run independent operations concurrently. Set timeouts and handle partial failures for each requested tool. Confirm the model and API support the parallel-call setting together.

Explore more AI capabilities