As of August 30, 2026, North Micro Vision Instruct API pricing is $0.15 per million input tokens and $0.60 per million output tokens. A typical 100K-in / 20K-out request costs $0.03. Source: https://cohere.com/pricing
Blended / 1M
$0.75
Input
$0.15
Output
$0.60
100K / 20K
$0.03
Specs
128K
Aug 12, 2026
Open source
Percentile against every model with a published score on that eval. Click a row for the full board.
IFEval against blended input+output $/M. Log price. North Micro Vision Instruct is the green point.
Published scores
19 evals · 3 groups
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As of August 30, 2026, North Micro Vision Instruct Cohere API pricing is $0.15 per million input tokens and $0.60 per million output tokens. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://cohere.com/pricing
On this page the blended North Micro Vision Instruct API cost is $0.75 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $1.05.
A typical North Micro Vision Instruct API request with 100K input tokens and 20K output tokens costs about $0.03 at current rates as of August 30, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from Cohere can bring the real invoice lower than the public list rate at https://cohere.com/pricing.
North Micro Vision Instruct supports a 128K token context window. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
Yes. North Micro Vision Instruct is an open-weight model by Cohere. You can download the weights and self-host, or pay Cohere's hosted API and skip GPU ops. Hosted API pricing on this page is the public per-million-token rate, not the electricity cost of running the weights yourself.
North Micro Vision Instruct currently reports IFEval 74.9%, MMLU 50.4%, Docvqa 92.1%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated North Micro Vision Instruct vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut North Micro Vision Instruct. Open-weight models can be cheaper still if you self-host, but that is not the same as Cohere API pricing on this page.
North Micro Vision Instruct is called through Cohere's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for Cohere and 5+ other providers with auth, payments, and deployment already configured.
This North Micro Vision Instruct page tracks the latest published Cohere API pricing from Cohere, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://cohere.com/pricing. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
North Micro Vision Instruct is a open-source model from Cohere. Current API pricing is $0.15 per million input tokens and $0.60 per million output tokens, with a 128K token context window. A blended 1M-in / 1M-out workload costs $0.75.
Source: Cohere pricing (https://cohere.com/pricing)
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