deepseek-v4-flash-vision-expFireworks AI
- api
- chat
- hosting
- US
- model lab
- DeepSeek
- weights
- open
- added
- August 2026
- model id
- fireworks/deepseek-v4-flash-vision-exp
capabilities 5/8
- input
- $0.22
- output
- $0.66
- cache write
- -
- cache read
- $0.0070
worked cost
| volume | cost |
|---|---|
| 100K in + 10K out | $0.0286 |
| 1M in + 100K out | $0.29 |
| 10M in + 1M out | $2.86 |
Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing
no measured traffic for this endpoint yet. pricing above is the provider's own
no published scores for this exact variant. region deployments and highspeed tiers usually share the base model's results
- retention
- none
- trains on prompts
- no
- hosted in
- US
Terms are the provider's, not Requesty's: routing a request here puts it under them. Fireworks Privacy Policy
Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.
fireworks/deepseek-v4-flash-vision-expthis id pins the fireworks ai deployment, with no routing and no failover. the managed id on the canonical page routes across all 1 providers instead
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create( model="fireworks/deepseek-v4-flash-vision-exp", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models
DeepSeek V4 Flash Vision Exp is the first experimental multimodal model in the DeepSeek V4 family. It builds on DeepSeek V4 Flash with added visual modules and continued training for visual understanding, with substantially improved multimodal agent capabilities while remaining comparable on text only agent tasks. 305B MoE, 1M token context. Served via Fireworks.
questions 5
How much does deepseek-v4-flash-vision-exp cost?
What is the context window of deepseek-v4-flash-vision-exp?
What can deepseek-v4-flash-vision-exp do?
How do I use deepseek-v4-flash-vision-exp with the OpenAI SDK?
Can I run deepseek-v4-flash-vision-exp through Requesty?
more from fireworks ai 8
| endpoint | ctx | in /M |
|---|---|---|
| deepseek-v4.1-flash | 1.0M | $0.22 |
| glm-5.3-flash | 1.0M | $0.15 |
| glm-5.3 | 1.0M | $1.40 |
| nemotron-lightning-3.5-30b-a3b | 262K | $0.05 |
| deepseek-v4-pro-0813 | 1M | $1.32 |
| muse-glimmer-30b | 131K | $0.35 |
| qwen3.8-max | 1M | $2.00 |
| deepseek-v4-flash-0731 | 1M | $0.22 |
call deepseek-v4-flash-vision-exp through one endpoint
One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology
