Bridge by Wekoya / Models / Mistral / Devstral 2 123B API, priced in naira
Devstral 2 123B API, priced in naira
In short: You can use Devstral 2 123B, a model by Mistral, from Nigeria through Bridge and pay in naira, with no dollar card. It costs ₦702 per million input tokens and ₦3,510 per million output tokens. Call it with the OpenAI SDK using the model ID devstral-2-123b.
Updated
Price and limits
| Devstral 2 123B | |
|---|---|
| Input, per million tokens | ₦702 |
| Output, per million tokens | ₦3,510 |
| Cached input, per million tokens | ₦702 |
| Writing to the cache, per million tokens | ₦702 |
| Context window | 262,144 tokens |
| Longest reply | 8,192 tokens |
| Reads pictures | No |
| Tool calling | Yes |
| Reasoning (thinks before it answers) | No |
| Model ID | devstral-2-123b |
Prices as of 8 November 2026. They are in naira and follow the exchange rate, so the live price may differ a little. A token is roughly three quarters of a word.
What a request costs
A request that sends 1,500 tokens (instructions, the conversation so far and a question) and gets 500 back (about 375 words) costs about ₦2.81 on 8 November 2026. A thousand of them cost about ₦2,808.
Use Devstral 2 123B from your code
Bridge speaks the OpenAI format, so the OpenAI SDK works as it is: set the base URL to https://wekoya-api.wekoya.tech/v1, use your Bridge key, and pass devstral-2-123b as the model. Create a key, then:
from openai import OpenAI
client = OpenAI(api_key="wk_live_...", base_url="https://wekoya-api.wekoya.tech/v1")
reply = client.chat.completions.create(
model="devstral-2-123b",
messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)Streaming works the same way, and so does tool calling. The quickstart has the same in JavaScript and curl, and the Responses API works too.
Other Mistral models on Bridge
| Model | Input / 1M | Output / 1M | Context |
|---|---|---|---|
| Ministral 3 3B | ₦176 | ₦176 | 256,000 |
| Ministral 3 8B | ₦263 | ₦263 | 128,000 |
| Ministral 14B 3.0 | ₦351 | ₦351 | 128,000 |
| Magistral Small 1.2 | ₦878 | ₦2,633 | 128,000 |
| Mistral Large 3 | ₦878 | ₦2,633 | 262,144 |
| Pixtral Large (25.02) | ₦3,510 | ₦10,530 | 128,000 |
Every Mistral model on Bridge, with what each can do.
Lower-priced models that can do the same things
These cost less per request than Devstral 2 123B and can also call tools and take at least 262,144 tokens of context. Quality differs from model to model, so test on your own examples first: AI tasks compares models on your cases and tells you whether a cheaper one is good enough.
| Model | Input / 1M | Output / 1M | Context |
|---|---|---|---|
| Mistral Large 3 | ₦878 | ₦2,633 | 262,144 |
| Gemini 3.5 Flash Lite | ₦446 | ₦3,713 | 1,048,576 |
| Qwen3 Coder Next | ₦878 | ₦2,106 | 262,144 |
| Inkling Small | ₦790 | ₦2,106 | 524,288 |
Common questions
How much does Devstral 2 123B cost in naira?
On Bridge, Devstral 2 123B costs ₦702 per million input tokens and ₦3,510 per million output tokens, with cached input at ₦702 (as of 8 November 2026). A request that sends 1,500 tokens and gets 500 back costs about ₦2.81. There is no subscription and no minimum.
Can I use the Devstral 2 123B API from Nigeria without a dollar card?
Yes. Create a free Bridge account, top up your naira balance by bank transfer to your own account number, and call Devstral 2 123B with your Bridge key. A card works too, but it is not needed.
Does Devstral 2 123B on Bridge work with the OpenAI SDK?
Yes. Use the OpenAI SDK or any OpenAI-compatible client with the base URL https://wekoya-api.wekoya.tech/v1 and the model ID devstral-2-123b. Streaming works, and so does tool calling.
What is the context window of Devstral 2 123B?
262,144 tokens, about 196,608 words of instructions, conversation and documents together. It writes up to 8,192 tokens in one reply.
Can Devstral 2 123B read pictures?
No. Devstral 2 123B reads text only. For pictures, pick a model marked "Reads pictures" on the models page.