What is DeepSeek V3.1 Terminus good for?

The same thinking and non-thinking agent work as V3.1, with what DeepSeek says is less mixed Chinese and English output and better code and search agents. MIT-licensed weights, on a multi-GPU node.

When is DeepSeek V3.1 Terminus not a good fit?

Image input, and long single responses, since its maximum output is short. Running the weights yourself takes a multi-GPU node.

What is the cheapest way to run DeepSeek V3.1 Terminus?

Hosted, unless you push serious volume. Novita charges $0.27 in / $1.00 out per 1M tokens. The cheapest rental that fits is 8x A100 at $10,138 a month, which costs the same as about 26B tokens a month on that API.

How does DeepSeek V3.1 Terminus compare with DeepSeek V3.1?

DeepSeek calls DeepSeek V3.1 Terminus a fix release for DeepSeek V3.1: it cuts mixed Chinese and English text and stray characters in output and tunes the code and search agents further. Same price, 131K-token context and text input. DeepSeek V3.1 Terminus came out a month later.

Can I self-host DeepSeek V3.1 Terminus?

Yes. The weights are MIT licensed. At 4-bit it needs about 373 GB of GPU memory, which starts at roughly $10,138 a month on the cheapest rental that fits.

Open weights · MIT

DeepSeek V3.1 Terminus

A 671B MoE refinement of V3.1 (37B active) with improved language consistency and agentic tool use, under the MIT license.

Jump to: Specs Pricing Self-hosting Similar models FAQ More from DeepSeek

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Cheapest via Novita

Input: $0.27 / 1M tokens
Output: $1.00 / 1M tokens

1 provider

Key Specifications

Context window: 131K tokens
Max output: 8K tokens
Released: Sep 2025
Parameters: 671B, 37B active
Inputs: Text

Capabilities Show details: Reasoning Thinks before it answers, always on or as a switchable mode. Function calling Connect to external tools, APIs, and systems. Structured output Return responses in structured formats like JSON.

Hosted API pricing

Input tokens M Output tokens M

Provider	Input / 1M tokens	Output / 1M tokens	Cached input / 1M	Cost at 10M in + 2M out
Novita	$0.27	$1.00	$0.14	$4.70	View

Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.

Estimated cost to self-host

DeepSeek V3.1 Terminus needs about 373 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× A100 at about $10,138 a month.

That costs the same as roughly 26B tokens a month on Novita's API. Self-hosting is more expensive below that volume.

Single node ≤ 8

Precision	Memory	Cheapest fit (32K context)(Full 131K context)	Cost / mo	Break-even vs API
4-bitINT4 / FP4	373 GB380 GB	8× A100	$10,138$10,138	26B tokens / mo26B tokens / mo
8-bitFP8 / INT8	674 GB678 GB	8× RTX PRO 6000	$12,672$12,672	32B tokens / mo32B tokens / mo
16-bitFP16 / BF16	1,346 GB1,353 GB	8× B300	$45,446$45,446	116B tokens / mo116B tokens / mo

Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.

Similarly priced models

The models nearest DeepSeek V3.1 Terminus by blended rate, each at its own cheapest provider.

Model	Blended / 1M	Input / 1M	Output / 1M	Context	Cutoff	vs DeepSeek V3.1 Terminus
Qwen3.6-27B Alibaba Cloud	$0.35	$0.30	$0.60	262K		−11%
GPT-5.6 Luna OpenAI	$0.3667	$0.20	$1.20	1M	Feb 2026	−6%
GPT-5.4 Nano OpenAI	$0.375	$0.20	$1.25	400K	Aug 2025	−4%
Qwen2.5-72B Instruct Alibaba Cloud	$0.3833	$0.38	$0.40	33K		−2%
DeepSeek V3.1 DeepSeek	$0.3917	$0.27	$1.00	131K		0%
DeepSeek V3.1 Terminus This model DeepSeek	$0.3917	$0.27	$1.00	131K
Codestral Mistral	$0.40	$0.30	$0.90	128K		+2%
DeepSeek V3 DeepSeek	$0.4117	$0.27	$1.12	128K		+5%
Qwen3.7-Plus Alibaba Cloud	$0.4167	$0.28	$1.10	1M		+6%
Qwen3-VL-Plus Alibaba Cloud	$0.4333	$0.20	$1.60	262K		+11%
DeepSeek V4.1 Flash DeepSeek	$0.45	$0.30	$1.20	1M		+15%

Prices are USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.

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Frequently Asked Questions

What is DeepSeek V3.1 Terminus good for?: The same thinking and non-thinking agent work as V3.1, with what DeepSeek says is less mixed Chinese and English output and better code and search agents. MIT-licensed weights, on a multi-GPU node.
When is DeepSeek V3.1 Terminus not a good fit?: Image input, and long single responses, since its maximum output is short. Running the weights yourself takes a multi-GPU node.
What is the cheapest way to run DeepSeek V3.1 Terminus?: Hosted, unless you push serious volume. Novita charges $0.27 in / $1.00 out per 1M tokens. The cheapest rental that fits is 8x A100 at $10,138 a month, which costs the same as about 26B tokens a month on that API.
How does DeepSeek V3.1 Terminus compare with DeepSeek V3.1?: DeepSeek calls DeepSeek V3.1 Terminus a fix release for DeepSeek V3.1: it cuts mixed Chinese and English text and stray characters in output and tunes the code and search agents further. Same price, 131K-token context and text input. DeepSeek V3.1 Terminus came out a month later.
Can I self-host DeepSeek V3.1 Terminus?: Yes. The weights are MIT licensed. At 4-bit it needs about 373 GB of GPU memory, which starts at roughly $10,138 a month on the cheapest rental that fits.

More from DeepSeek

Model	Context	Input / 1M	Output / 1M
DeepSeek V3.1 Open weights	131K	$0.27	$1.00
DeepSeek V3 Open weights	128K	$0.27	$1.12
DeepSeek V3.2 Open weights	131K	$0.25	$0.80
DeepSeek V4.1 Flash Open weights	1M	$0.30	$1.20
DeepSeek V4 Pro Open weights	1M	$0.45	$0.89
DeepSeek V3 Turbo Open weights	64K	$0.40	$1.30
DeepSeek V4 Flash Vision Exp	1M	$0.44	$1.32
DeepSeek R1 Distill Llama 70B Open weights	131K	$0.80	$0.80