deepseek-v2p5
fireworks_ai · chat model
deepseek-v2p5 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
$1.2000 / 1M tokens
Output
$1.2000 / 1M tokens
Cached input
N/A
Context
32.8K
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 | $1.2000 / 1M tokens |
| Output | $1.2000 / 1M tokens |
| Embedding | $1.2000 / 1M tokens |
Token limits
Context window
32.8K
Max input tokens
32.8K
Max output tokens
32.8K
Max tokens
32.8K
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 | 78.5 | accuracy | Base model: DeepSeek-V2 (DeepSeek-V2 (MoE-236B)) | 2026-05-31 | Link |
| C-Eval | 81.7 | accuracy | Base model: DeepSeek-V2 (DeepSeek-V2 (MoE-236B)) | 2026-05-31 | Link |
| HumanEval | 48.8 | pass@1 | Base model: DeepSeek-V2 (DeepSeek-V2 (MoE-236B)) | 2026-05-31 | Link |
| GSM8K | 79.2 | accuracy | Base model: DeepSeek-V2 (DeepSeek-V2 (MoE-236B)) | 2026-05-31 | Link |
| MATH | 43.6 | accuracy | Base model: DeepSeek-V2 (DeepSeek-V2 (MoE-236B)) | 2026-05-31 | Link |
| LiveCodeBench | 32.5 | pass@1 | Base model: DeepSeek-V2 (DeepSeek-V2 Chat (RL)) | 2026-05-31 | Link |
| AlignBench | 7.91 | score | Base model: DeepSeek-V2 (DeepSeek-V2 Chat (RL)) | 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-v2p5 fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | No public capabilities | 32.8K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| dbrx-instruct fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Same provider Overall 75% |
| qwen2-72b-instruct fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Same provider Overall 70% |
| mistral-small-24b-instruct-2501 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Same provider Overall 70% |
| qwen-qwq-32b-preview fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Same provider Overall 70% |
| qwen1p5-72b-chat fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Same provider Overall 70% |
| qwen2p5-32b-instruct fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Low overlap | 32.8K | Same provider Overall 70% |
| deepseek-coder-v2-instruct fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Low overlap | 65.5K | Same provider Overall 68% |
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| cogito-671b-v2-p1 fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Low overlap | 163.8K | Same provider Overall 63% |
| deepseek-prover-v2 fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Low overlap | 163.8K | Same provider Overall 63% |
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Output: text | Low overlap | 2.0K | Text covered Overall 61% |
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Output: text | Low overlap | 10.0K | Text covered Overall 46% |
| ai21.j2-mid-v1 Bedrock | In $12.5000 / 1M tokens Out $12.5000 / 1M tokens | text
Output: text | Low overlap | 8.2K | Text covered Overall 46% |
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