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DeepSeek V4 Flash Free

opencode/v4-flash-free

من opencode · العائلة: deepseek-flash-free · أُصدِر 2026-04-24 · تاريخ المعرفة: 2025-05

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

غير معروف
الإدخال / 1M رمز
غير معروف
الإخراج / 1M رمز
1M
نافذة السياق
384K
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.

Coding91
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability1/10
Agents91
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output80
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context80
  • Context window (100K → 2M)80/90
  • Has published price for full window0/10
Production-readiness30
  • Number of independent providers5/40
  • Has published per-token price0/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

Cost Efficiency Index

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

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

متاح لدى 1 مزود

المزودمعرف نموذج المزودإدخال / 1Mإخراج / 1Mالسياقتاريخ الإصدار
OpenCode Zen
opencode
deepseek-v4-flash-freeUnknownUnknown1M2026-04-24

Frequently asked questions

How much does DeepSeek V4 Flash Free cost?

DeepSeek V4 Flash Free does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check opencode's official pricing page for the most current rates.

What is the context window of DeepSeek V4 Flash Free?

DeepSeek V4 Flash Free has a context window of 1M tokens, with a max output of 384K tokens per reply. This is the total combined size of prompt + completion.

Does DeepSeek V4 Flash Free support tool calling?

Yes. DeepSeek V4 Flash Free 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 DeepSeek V4 Flash Free support structured output / JSON mode?

Yes. DeepSeek V4 Flash Free supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can DeepSeek V4 Flash Free accept image input?

No. DeepSeek V4 Flash Free only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is DeepSeek V4 Flash Free open-weight?

Yes. DeepSeek V4 Flash Free'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 V4 Flash Free?

If DeepSeek V4 Flash Free doesn't fit, consider Ring 2.6 1T Free, Big Pickle, Trinity Large Preview. 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 opencode 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.