deepseek-r1-basic
fireworks_ai · chat model
deepseek-r1-basic 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 | $0.5500 / 1M tokens |
| Output | $2.1900 / 1M tokens |
| Embedding | $0.5500 / 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 |
|---|---|---|---|---|---|
| GPQA Diamond | 71.5 | Pass@1 | Base model: DeepSeek-R1 (DeepSeek-R1) | 2026-05-31 | Link |
| LiveCodeBench | 65.9 | Pass@1-COT | Base model: DeepSeek-R1 (DeepSeek-R1) | 2026-05-31 | Link |
| AIME 2024 | 79.8 | Pass@1 | Base model: DeepSeek-R1 (DeepSeek-R1) | 2026-05-31 | Link |
| MATH-500 | 97.3 | Pass@1 | Base model: DeepSeek-R1 (DeepSeek-R1) | 2026-05-31 | Link |
| Aider Polyglot | 71.4% | percent correct | Base model: DeepSeek R1 (deepseek/deepseek-reasoner) | 2026-05-31 | Link |
| Artificial Analysis Intelligence Index | 18.8 | index score | Base model: DeepSeek R1 (deepseek/deepseek-r1) | 2026-05-31 | Link |
| Artificial Analysis Coding Index | 15.9 | index score | Base model: DeepSeek R1 (deepseek/deepseek-r1) | 2026-05-31 | Link |
| Artificial Analysis Agentic Index | 3.8 | index score | Base model: DeepSeek R1 (deepseek/deepseek-r1) | 2026-05-31 | Link |
| MMLU | 90.8 | pass@1 | Base model: DeepSeek-R1 (DeepSeek-R1) | 2026-05-31 | Link |
| GPQA Diamond | 71.5 | pass@1 | Base model: DeepSeek-R1 (DeepSeek-R1) | 2026-05-31 | Link |
| LiveCodeBench | 65.9 | pass@1 | Base model: DeepSeek-R1 (DeepSeek-R1) | 2026-05-31 | Link |
| Codeforces | 2029 | rating | Base model: DeepSeek-R1 (DeepSeek-R1) | 2026-05-31 | Link |
| SWE-bench Verified | 49.2 | resolved | Base model: DeepSeek-R1 (DeepSeek-R1) | 2026-05-31 | Link |
| Aider Polyglot | 53.3 | accuracy | Base model: DeepSeek-R1 (DeepSeek-R1) | 2026-05-31 | Link |
| AIME 2024 | 79.8 | pass@1 | Base model: DeepSeek-R1 (DeepSeek-R1) | 2026-05-31 | Link |
| MATH-500 | 97.3 | pass@1 | Base model: DeepSeek-R1 (DeepSeek-R1) | 2026-05-31 | Link |
| Artificial Analysis Intelligence Index | 18.8 | score | Base model: deepseek-r1 (deepseek/deepseek-r1) | 2026-05-31 | Link |
| Artificial Analysis Coding Index | 15.9 | score | Base model: deepseek-r1 (deepseek/deepseek-r1) | 2026-05-31 | Link |
| Artificial Analysis Agentic Index | 3.8 | score | Base model: deepseek-r1 (deepseek/deepseek-r1) | 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-r1-basic fireworks_ai | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Response schema | 20.5K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| deepseek-r1 fireworks_ai | In $3.0000 / 1M tokens Out $8.0000 / 1M tokens | text
Output: text | Response schema | 20.5K | Same provider Overall 85% |
| qwen2-72b-instruct fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
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| yi-large fireworks_ai | In $3.0000 / 1M tokens Out $3.0000 / 1M tokens | text
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| deepseek-v3 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
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| qwen2p5-coder-32b-instruct fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
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| deepseek-v3-0324 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
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| 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 72% |
| glm-4p5 fireworks_ai | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Response schema | 96.0K | Same provider Overall 69% |
| glm-4p6 fireworks_ai | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Response schema | 202.8K | Same provider Overall 68% |
| DeepSeek-R1-0528-tput Together AI | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Response schema | N/A | Text covered Overall 66% |
| deepseek-r1 OpenRouter | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Low overlap | 8.2K | Text covered Overall 66% |
| deepseek-r1 vercel_ai_gateway | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
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| deepseek-r1 DeepSeek | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: unknown | Low overlap | 8.2K | Partial I/O overlap Overall 26% Missing text |
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