Qwen3-14B
deepinfra · chat model
Qwen3-14B is listed here as a chat model from deepinfra. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.0600 / 1M tokens
Output
$0.2400 / 1M tokens
Cached input
N/A
Context
41.0K
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $0.0600 / 1M tokens |
| Output | $0.2400 / 1M tokens |
| Embedding | $0.0600 / 1M tokens |
Token limits
Context window
41.0K
Max input tokens
41.0K
Max output tokens
41.0K
Max tokens
41.0K
Capabilities
| Capability | Supported |
|---|---|
| Vision | — |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | ✅ |
| Prompt caching | — |
| Reasoning | — |
| Response schema | — |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
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Comparing from
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|---|---|---|---|---|---|
| Qwen3-14B deepinfra | In $0.0600 / 1M tokens Out $0.2400 / 1M tokens | text
Output: text | Function callingTool choice | 41.0K | Current model Reference row |
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| Qwen3-30B-A3B deepinfra | In $0.0800 / 1M tokens Out $0.2900 / 1M tokens | text
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| Qwen3-32B deepinfra | In $0.1000 / 1M tokens Out $0.2800 / 1M tokens | text
Output: text | Function callingTool choice | 41.0K | Same provider Overall 95% |
| Qwen2.5-72B-Instruct deepinfra | In $0.1200 / 1M tokens Out $0.3900 / 1M tokens | text
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| Mistral-Small-24B-Instruct-2501 deepinfra | In $0.0500 / 1M tokens Out $0.0800 / 1M tokens | text
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| Qwen3-235B-A22B deepinfra | In $0.1800 / 1M tokens Out $0.5400 / 1M tokens | text
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| qwen-3-32b vercel_ai_gateway | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | text
Output: text | Function callingTool choice | 16.4K | Text covered Overall 85% |
| phi-4 deepinfra | In $0.0700 / 1M tokens Out $0.1400 / 1M tokens | text
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| Meta-Llama-3.1-70B-Instruct-Turbo deepinfra | In $0.1000 / 1M tokens Out $0.2800 / 1M tokens | text
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| Phi-4 azure_ai | In $0.1250 / 1M tokens Out $0.5000 / 1M tokens | text
Output: text | Function callingTool choice | 16.4K | Text covered Overall 81% |
| nvidia.nemotron-nano-3-30b bedrock_converse | In $0.0600 / 1M tokens Out $0.2400 / 1M tokens | text
Output: text | Function callingTool choice | 8.2K | Text covered Overall 80% |
| Mistral-Small-3.2-24B-Instruct-2506 deepinfra | In $0.0750 / 1M tokens Out $0.2000 / 1M tokens | text image
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| Llama-4-Scout-17B-16E-Instruct deepinfra | In $0.0800 / 1M tokens Out $0.3000 / 1M tokens | text image
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| Llama-3.3-70B-Instruct azure_ai | In $0.7100 / 1M tokens Out $0.7100 / 1M tokens | text
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| gpt-3.5-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
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| gpt-35-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 69% |
| gpt-35-turbo-16k-0613 Azure | In $3.0000 / 1M tokens Out $4.0000 / 1M tokens | text
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| gpt-4-0613 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | text
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| nvidia.nemotron-nano-9b-v2 bedrock_converse | In $0.0600 / 1M tokens Out $0.2300 / 1M tokens | text
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| nova-lite vercel_ai_gateway | In $0.0600 / 1M tokens Out $0.2400 / 1M tokens | text imagevideo
Output: text | Function calling | 8.2K | Text covered Overall 53% |
| amazon.nova-lite-v1:0 bedrock_converse | In $0.0600 / 1M tokens Out $0.2400 / 1M tokens | text imagepdf
Output: text | Function calling | 10.0K | Text covered Overall 52% |
| us.amazon.nova-lite-v1:0 bedrock_converse | In $0.0600 / 1M tokens Out $0.2400 / 1M tokens | text imagepdf
Output: text | Function calling | 10.0K | Text covered Overall 52% |
| nova-lite-v1 amazon_nova | In $0.0600 / 1M tokens Out $0.2400 / 1M tokens | text pdf
Output: unknown | Function calling | 10.0K | Partial I/O overlap Overall 28% Missing text |
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