ذكاء نماذج الذكاء الاصطناعي

Deepseek Prover V2 671B

novita-ai/prover-v2-671b

من novita-ai · أُصدِر 2025-04-30

⚠ هذا نموذج مُحسَّن من المجتمع أو مشتق — وليس إصدارًا رسميًا من المزود.

$0.700
الإدخال / 1M رمز
$2.50
الإخراج / 1M رمز
160K
نافذة السياق
160K
أقصى إخراج

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

القدرات

✗ استدعاء الأدوات✗ تفكير? إخراج منظم✗ المرفقات✓ أوزان مفتوحة✓ التحكم بالحرارة
الوسائط المدعومة: إدخال text · إخراج 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.

Coding5
  • Tool calling0/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)4/20
  • Provider availability1/10
Agents16
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output24
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume14/20
Cost efficiency50
  • Headline price (log-scaled)50/95
  • Has prompt-cache pricing0/5
Long context50
  • Context window (100K → 2M)40/90
  • Has published price for full window10/10
Production-readiness50
  • 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)0/15

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
$4.75
< $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
$9.50
< $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
$2.65
< $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
$8.10
< $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
$9.90
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

تفاصيل التسعير

السعر المُوصى به من novita-ai · deepseek/deepseek-prover-v2-671b

$0.700
إدخال
$2.50
إخراج

متاح لدى 1 مزود

المزودمعرف نموذج المزودإدخال / 1Mإخراج / 1Mالسياقتاريخ الإصدار
NovitaAI
novita-ai
deepseek/deepseek-prover-v2-671b$0.700$2.50160K2025-04-30

Frequently asked questions

How much does Deepseek Prover V2 671B cost?

Deepseek Prover V2 671B costs $0.700 per 1M input tokens and $2.50 per 1M output tokens, sourced from novita-ai. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Deepseek Prover V2 671B?

Deepseek Prover V2 671B has a context window of 160K tokens, with a max output of 160K tokens per reply. This is the total combined size of prompt + completion.

Does Deepseek Prover V2 671B support tool calling?

No. Deepseek Prover V2 671B does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does Deepseek Prover V2 671B support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Deepseek Prover V2 671B in our data source. Verify with novita-ai's official documentation before relying on it in production.

Can Deepseek Prover V2 671B accept image input?

No. Deepseek Prover V2 671B only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Deepseek Prover V2 671B open-weight?

Yes. Deepseek Prover V2 671B'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 Deepseek Prover V2 671B?

If Deepseek Prover V2 671B doesn't fit, consider Ling-2.6-1T, Ling-2.6-flash, PaddleOCR-VL. 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.

Explore more

More novita-ai models

Capability lists this model is in

See also

آخر تحديث:

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.