deepseek-v3-0324
fireworks_ai · chat model
deepseek-v3-0324 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 | $0.9000 / 1M tokens |
| Output | $0.9000 / 1M tokens |
| Embedding | $0.9000 / 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-v3-0324 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Response schema | 163.8K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| qwen2-72b-instruct fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Response schema | 32.8K | Same provider Overall 88% |
| deepseek-coder-v2-instruct fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Response schema | 65.5K | Same provider Overall 86% |
| deepseek-v3 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Response schema | 8.2K | Same provider Overall 86% |
| qwen2p5-coder-32b-instruct fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Response schema | 4.1K | Same provider Overall 85% |
| deepseek-r1-0528 fireworks_ai | In $3.0000 / 1M tokens Out $8.0000 / 1M tokens | text
Output: text | Response schema | 160.0K | Same provider Overall 84% |
| llama4-maverick-instruct-basic fireworks_ai | In $0.2200 / 1M tokens Out $0.8800 / 1M tokens | text image
Output: text | Response schema | 131.1K | Same provider Overall 78% |
| deepseek-r1-basic fireworks_ai | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Response schema | 20.5K | Same provider Overall 77% |
| deepseek-r1 fireworks_ai | In $3.0000 / 1M tokens Out $8.0000 / 1M tokens | text
Output: text | Response schema | 20.5K | Same provider Overall 71% |
| firefunction-v2 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Response schema | 8.2K | Same provider Overall 69% |
| llama-v3p1-8b-instruct fireworks_ai | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Response schema | 16.4K | Same provider Overall 69% |
| llama-v3p2-90b-vision-instruct fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text image
Output: text | Response schema | 16.4K | Same provider Overall 62% |
| Mixtral-8x22B-Instruct-v0.1 anyscale | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: unknown | Low overlap | 65.5K | Partial I/O overlap Overall 26% Missing text |
No models match this filter.