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.

Params: 671B, 37B active
Context: 131K tokens
Max output: 8K
Released: Sep 2025
License: MIT

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Hosted API price

Cheapest via Novita · per 1M tokens

USD

Input: $0.27 /1M
Output: $1.00 /1M
Hosted by: 1 provider

Hosted API pricing

How we price

Order

Providers are listed cheapest input rate first, then by output rate, a tie going to the creator's own listing. A provider that lists the model without a published rate sits at the end.

Prices

Base-tier, on-demand rates in USD per 1M tokens, converted at ECB reference rates where a provider publishes in another currency. Cached-input and batch rates show only where a provider publishes them. "Cheapest" marks the one provider with the lowest input and output pair; a tie wears no badge.

Cost

Input rate times the input tokens plus output rate times the output tokens, at the monthly volume set above the table. Cached-input, batch, long-context and reasoning-token billing are not modelled.

Transparency and funding

Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.

Every provider serving DeepSeek V3.1 Terminus, cheapest input first. Set your monthly volume to see what each would bill.

Input M Output M

Every provider serving DeepSeek V3.1 Terminus, with its price per 1M input and output tokens and what the volume above would cost
Provider	Input /1M	Output /1M	Cached input /1M	Cost at 10M in + 2M out	Link
Novita	$0.27	$1.00	$0.135	$4.70	Visit website

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 $9,850 a month.

That costs the same as roughly 25B tokens a month on Novita's API. Self-hosting is more expensive below that volume.

Single node ≤ 8

What it costs to self-host DeepSeek V3.1 Terminus at each precision: the memory it needs, the cheapest rental that holds it, that rental's month and the API volume it pays off at
Precision	Memory	Cheapest fit (32K context)(Full 131K context)	Cost /mo	Break-even vs API
4-bit INT4 / FP4	373 GB380 GB	8× A100	$9,850$9,850	25B tokens /mo25B tokens /mo
8-bit FP8 / INT8	674 GB678 GB	8× RTX PRO 6000	$12,614$12,614	32B tokens /mo32B tokens /mo
16-bit FP16 / 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. Pricing methodology.

Similarly priced models

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

Models priced nearest DeepSeek V3.1 Terminus per 1M tokens, each at its 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	$0.4135	$0.276	$1.101	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%

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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Capabilities

What DeepSeek V3.1 Terminus accepts and can do, as published by DeepSeek.

Text Accepts and generates natural-language text.
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.

Common 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 $9,850 a month, which costs the same as about 25B 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 $9,850 a month on the cheapest rental that fits.