deepseek-v3p2
fireworks_ai · chat model
deepseek-v3p2 is listed here as a chat model from fireworks_ai. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
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 | $0.5600 / 1M tokens |
| Output | $1.6800 / 1M tokens |
| Embedding | $0.5600 / 1M tokens |
Token limits
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 | — |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| MMLU | 88.5 | EM | Base model: DeepSeek-V3 (DeepSeek-V3) | 2026-05-31 | Link |
| GPQA Diamond | 59.1 | Pass@1 | Base model: DeepSeek-V3 (DeepSeek-V3) | 2026-05-31 | Link |
| LiveCodeBench | 37.6 | Pass@1 | Base model: DeepSeek-V3 (DeepSeek-V3) | 2026-05-31 | Link |
| AIME 2024 | 39.2 | Pass@1 | Base model: DeepSeek-V3 (DeepSeek-V3) | 2026-05-31 | Link |
| MATH-500 | 90.2 | EM | Base model: DeepSeek-V3 (DeepSeek-V3) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| deepseek-v3p2 fireworks_ai | In $0.5600 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 163.8K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| glm-4p6 fireworks_ai | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 202.8K | Same provider Overall 94% |
| glm-4p7 fireworks_ai | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 202.8K | Same provider Overall 94% |
| glm-4p7 fireworks_ai | In $0.6000 / 1M tokens Out $2.2000 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 202.8K | Same provider Overall 94% |
| deepseek.v3.2 Bedrock | In $0.6200 / 1M tokens Out $1.8500 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 92% |
| deepseek.v3.2 Bedrock | In $0.6200 / 1M tokens Out $1.8500 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 92% |
| deepseek.v3.2 Bedrock | In $0.6200 / 1M tokens Out $1.8500 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 92% |
| glm-4p5 fireworks_ai | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 96.0K | Same provider Overall 91% |
| deepseek-v3.2 azure_ai | In $0.5800 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 90% |
| deepseek-v3.2-speciale azure_ai | In $0.5800 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 163.8K | Text covered Overall 90% |
| magistral-small-2506 Mistral | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 40.0K | Text covered Overall 87% |
| magistral-small-latest Mistral | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 40.0K | Text covered Overall 87% |
| deepseek.v3-v1:0 bedrock_converse | In $0.5800 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Function callingTool choiceReasoning | 81.9K | Text covered Overall 86% |
| minimax-m2p1 fireworks_ai | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 204.8K | Same provider Overall 83% |
| minimax-m2p1 fireworks_ai | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingTool choiceResponse schema | 204.8K | Same provider Overall 83% |
| gpt-oss-120b fireworks_ai | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 131.1K | Same provider Overall 83% |
| glm-4p5-air fireworks_ai | In $0.2200 / 1M tokens Out $0.8800 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 96.0K | Same provider Overall 83% |
| deepseek-v3p1 fireworks_ai | In $0.5600 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Tool choiceReasoningResponse schema | 8.2K | Same provider Overall 80% |
| deepseek-v3p1-terminus fireworks_ai | In $0.5600 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Tool choiceReasoningResponse schema | 8.2K | Same provider Overall 80% |
| gpt-oss-20b fireworks_ai | In $0.0500 / 1M tokens Out $0.2000 / 1M tokens | text
Output: text | Function callingTool choiceReasoningResponse schema | 131.1K | Same provider Overall 79% |
| deepseek-v3.2-maas vertex_ai-deepseek_models | In $0.5600 / 1M tokens Out $1.6800 / 1M tokens | text
Output: unknown | Function callingTool choiceReasoning | 32.8K | Partial I/O overlap Overall 38% Missing text |
No models match this filter.