QwQ-32B
deepinfra · chat model
QwQ-32B 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
$0.1500 / 1M tokens
Output
$0.4000 / 1M tokens
Cached input
N/A
Context
131.1K
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 | $0.1500 / 1M tokens |
| Output | $0.4000 / 1M tokens |
| Embedding | $0.1500 / 1M tokens |
Token limits
Context window
131.1K
Max input tokens
131.1K
Max output tokens
131.1K
Max tokens
131.1K
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
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| QwQ-32B deepinfra | In $0.1500 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| Llama-3.3-70B-Instruct-Turbo deepinfra | In $0.1300 / 1M tokens Out $0.3900 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Same provider Overall 99% |
| Llama-3.3-Nemotron-Super-49B-v1.5 deepinfra | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Same provider Overall 97% |
| Llama-3.3-70B-Instruct deepinfra | In $0.2300 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Same provider Overall 97% |
| Meta-Llama-3.1-70B-Instruct deepinfra | In $0.4000 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Same provider Overall 94% |
| Meta-Llama-3.1-70B-Instruct-Turbo deepinfra | In $0.1000 / 1M tokens Out $0.2800 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Same provider Overall 94% |
| grok-3-mini vercel_ai_gateway | In $0.3000 / 1M tokens Out $0.5000 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Text covered Overall 93% |
| gpt-oss-120b deepinfra | In $0.0500 / 1M tokens Out $0.4500 / 1M tokens | text
Output: text | Function callingTool choice | 131.1K | Same provider Overall 93% |
| Qwen2.5-72B-Instruct deepinfra | In $0.1200 / 1M tokens Out $0.3900 / 1M tokens | text
Output: text | Function callingTool choice | 32.8K | Same provider Overall 87% |
| llama-3.3-70b-instruct novita | In $0.1350 / 1M tokens Out $0.4000 / 1M tokens | text
Output: text | Function callingTool choice | 120.0K | Text covered Overall 85% |
| 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 83% |
| Llama-3.3-70B-Instruct azure_ai | In $0.7100 / 1M tokens Out $0.7100 / 1M tokens | text
Output: text | Function callingTool choice | 2.0K | Text covered Overall 73% |
| Llama-4-Maverick-17B-128E-Instruct-FP8 deepinfra | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | text image
Output: text | Function callingTool choice | 1.0M | Same provider Overall 71% |
| gpt-3.5-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 71% |
| 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 71% |
| gpt-35-turbo-16k-0613 Azure | In $3.0000 / 1M tokens Out $4.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 67% |
| gpt-4-0613 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Text covered Overall 66% |
| gemini-2.0-flash-001 deepinfra | In $0.1000 / 1M tokens Out $0.4000 / 1M tokens | text audiocode
Output: text | Function callingTool choice | 1.0M | Same provider Overall 65% |
| Llama-3.3-70B-Instruct nebius | In $0.1300 / 1M tokens Out $0.4000 / 1M tokens | text
Output: unknown | Function calling | 128.0K | Partial I/O overlap Overall 46% Missing text |
| Meta-Llama-3.1-70B-Instruct nebius | In $0.1300 / 1M tokens Out $0.4000 / 1M tokens | text
Output: unknown | Function calling | 128.0K | Partial I/O overlap Overall 46% Missing text |
| Qwen2.5-72B-Instruct nebius | In $0.1300 / 1M tokens Out $0.4000 / 1M tokens | text
Output: unknown | Function calling | 128.0K | Partial I/O overlap Overall 46% Missing text |
| Qwen2.5-VL-72B-Instruct nebius | In $0.1300 / 1M tokens Out $0.4000 / 1M tokens | text
Output: unknown | Function calling | 131.1K | Partial I/O overlap Overall 42% Missing text |
| Qwen2-VL-72B-Instruct nebius | In $0.1300 / 1M tokens Out $0.4000 / 1M tokens | text
Output: unknown | Function calling | 131.1K | Partial I/O overlap Overall 42% Missing text |
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