Inteligência em modelos de IA

MiMo V2.5 Pro

opencode-go/mimo-v2-5-pro

Por opencode-go · família: mimo-v2.5-pro · lançado 2026-04-22 · data de conhecimento: 2024-12

$1.00
Entrada / 1M tokens
$3.00
Saída / 1M tokens
1.05M
Janela de contexto
128K
Saída máxima

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capacidades

Tool callingRaciocínio? Saída estruturadaAnexosPesos abertosControle de temperatura
Modalidades: entrada text · saída text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding71
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability1/10
Agents66
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output42
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume12/20
Cost efficiency52
  • Headline price (log-scaled)47/95
  • Has prompt-cache pricing5/5
Long context91
  • Context window (100K → 2M)81/90
  • Has published price for full window10/10
Production-readiness65
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$6.50
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$13.00
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$3.50
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$11.00
$0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$13.80
$0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Detalhes de preço

Preço recomendado de opencode-go · mimo-v2.5-pro

$1.00
Entrada
$3.00
Saída
$0.200
Leitura de cache
Acima de 200K de contexto
input $2 · output $6 · cache_read $0.4

Disponível em 1 provedores

ProvedorID do modelo do provedorEntrada / 1MSaída / 1MContextoLançado
OpenCode Go
opencode-go
mimo-v2.5-pro$1.00$3.001.05M2026-04-22

Frequently asked questions

How much does MiMo V2.5 Pro cost?

MiMo V2.5 Pro costs $1.00 per 1M input tokens and $3.00 per 1M output tokens, sourced from opencode-go. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of MiMo V2.5 Pro?

MiMo V2.5 Pro has a context window of 1.05M tokens, with a max output of 128K tokens per reply. This is the total combined size of prompt + completion.

Does MiMo V2.5 Pro support tool calling?

Yes. MiMo V2.5 Pro supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does MiMo V2.5 Pro support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for MiMo V2.5 Pro in our data source. Verify with opencode-go's official documentation before relying on it in production.

Can MiMo V2.5 Pro accept image input?

No. MiMo V2.5 Pro only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is MiMo V2.5 Pro open-weight?

Yes. MiMo V2.5 Pro's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to MiMo V2.5 Pro?

If MiMo V2.5 Pro doesn't fit, consider MiMo V2 Omni, MiMo V2.5, MiMo V2 Pro. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

More opencode-go models

Última atualização:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.