deepseek-v3p1-terminus
fireworks_ai · chat model
deepseek-v3p1-terminus 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.
Input
$0.5600 / 1M tokens
Output
$1.6800 / 1M tokens
Cached input
N/A
Context
8.2K
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
Context window
8.2K
Max input tokens
128.0K
Max output tokens
8.2K
Max tokens
8.2K
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.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| deepseek-v3p1-terminus fireworks_ai | In $0.5600 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Tool choiceReasoningResponse schema | 8.2K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| 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 100% |
| deepseek-r1-distill-llama-70b novita | In $0.8000 / 1M tokens Out $0.8000 / 1M tokens | text
Output: text | Tool choiceReasoningResponse schema | 8.2K | Text covered Overall 85% |
| codestral-2405 Mistral | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Tool choiceResponse schema | 8.2K | Text covered Overall 83% |
| codestral-latest Mistral | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens | text
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| minimax.minimax-m2.5 Bedrock | In $0.4700 / 1M tokens Out $1.8600 / 1M tokens | text
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| magistral-small-2506 Mistral | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Tool choiceReasoningResponse schema | 40.0K | Text covered Overall 80% |
| magistral-small-latest Mistral | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Tool choiceReasoningResponse schema | 40.0K | Text covered Overall 80% |
| deepseek-v3p2 fireworks_ai | In $0.5600 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Tool choiceReasoningResponse schema | 163.8K | Same provider Overall 80% |
| firefunction-v2 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Tool choiceResponse schema | 8.2K | Same provider Overall 79% |
| glm-4p5 fireworks_ai | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Tool choiceReasoningResponse schema | 96.0K | Same provider Overall 77% |
| glm-4p6 fireworks_ai | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
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Output: text | Tool choiceReasoning | 81.9K | Text covered Overall 74% |
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Output: text | Tool choiceReasoning | 163.8K | Text covered Overall 70% |
| deepseek-v3.2-speciale azure_ai | In $0.5800 / 1M tokens Out $1.6800 / 1M tokens | text
Output: text | Tool choiceReasoning | 163.8K | Text covered Overall 70% |
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Output: text | Tool choiceReasoningResponse schema | 96.0K | Same provider Overall 69% |
| o3-mini Azure | In $1.1000 / 1M tokens Out $4.4000 / 1M tokens | text
Output: text | Tool choiceReasoningResponse schema | 100.0K | Text covered Overall 69% |
| deepseek-v3.2-maas vertex_ai-deepseek_models | In $0.5600 / 1M tokens Out $1.6800 / 1M tokens | text
Output: unknown | Tool choiceReasoning | 32.8K | Partial I/O overlap Overall 34% Missing text |
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