DeepSeek: DeepSeek V3.1 Terminus (exacto)

DeepSeek: DeepSeek V3.1 Terminus (exacto)

deepseek · Released Sep 22, 2025
Intelligence #102 / 699
52.5 our score
AA Index #116 / 424
31.1 Artificial Analysis
Input Price #329 / 701
$0.210 per 1M tokens
Output Price #330 / 701
$0.790 per 1M tokens
Context #337 / 701
163,840 tokens

Analysis Summary

DeepSeek V3.1 Terminus exacto is a text model with a 163K context window and support for tool use and function calling. Although the family name suggests technical positioning, this exact variant has no benchmark results in the supplied data, so its reasoning, coding, writing, and agentic performance cannot be assumed from the related entry.

Its pricing and long context could make it useful for supervised document processing, technical assistance, and API-connected automation. The absence of vision limits multimodal workflows, and the lack of variant-specific measurements means teams should test response consistency, tool execution, and error recovery before assigning it production responsibility.

Treat exacto as a low-cost experimental option. Validate it against real prompts and tool traces, and use the benchmarked Terminus configuration or another tested model for critical coding and autonomous tasks.

Assessed August 9, 2026

Editorial notes

The exacto variant of DeepSeek V3.1 Terminus offers a 163K context window, tool use, function calling, and low pricing; it has no variant-specific benchmark data, so production reliability remains unproven.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

DFO Verdict

The exacto variant of DeepSeek V3.1 Terminus offers a 163K context window, tool use, function calling, and low pricing; it has no variant-specific benchmark data, so production reliability remains unproven.

#102 of 699 overall Up 340 this week

How DeepSeek: DeepSeek V3.1 Terminus (exacto) compares

DeepSeek: DeepSeek V3.1 Terminus (exacto) ranks #116 of 424 AI models we track for overall intelligence, #79 of 197 for coding, #96 of 179 for agentic tasks. Its 164K-token context window is larger than 52% of the models we list. At $0.21 per million input tokens it is cheaper than 53% of comparable models.

Position in the field
Intelligence: smarter than 85% of models #102
Price: cheaper than 53% of models #329
Context: larger than 52% of models #337
worst in fieldmedianbest in field
Price vs frontier peers · $ per 1M tokens
DeepSeek: DeepSeek V3.1 Terminus (exacto) $0.21 in $0.79 out
Claude Opus 5 $5.00 in $25.00 out
SpaceXAI: Grok 4.6 $2.00 in $6.00 out
Qwen: Qwen3.8 Max $2.00 in $6.00 out

Dark bar = input · light bar = output, scaled to the priciest peer.

Context window vs peers · tokens
DeepSeek: DeepSeek V3.1 Terminus (exacto) 164K

1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.

Intelligence4.4Technical4.2Value7.8Content4.5
Performance profile

Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.

Compare shapes side-by-side →

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.21 $0.000210
Output $0.79 $0.000790

What would DeepSeek: DeepSeek V3.1 Terminus (exacto) cost your business?

Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.

A website chatbot handling around 100 customer conversations a day, a few short messages each.

3,000
One request is one message, email, draft or automation call.
1,200 tokens

$0/mo DeepSeek: DeepSeek V3.1 Terminus (exacto)

Full calculator with 701 models → Price Calculator

DFO AI AUTOMATION

These numbers get smaller with the right architecture.

We route routine calls to cheap models and save DeepSeek: DeepSeek V3.1 Terminus (exacto) for the hard ones. Most clients cut their estimate by 60-80%.

Talk to our team

About DeepSeek: DeepSeek V3.1 Terminus (exacto)

DeepSeek-V3.1 Terminus is an update to DeepSeek V3.1 that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's performance in coding and search agents. It is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes. It extends the DeepSeek-V3 base with a two-phase long-context training process, reaching up to 128K tokens, and uses FP8 microscaling for efficient inference. Users can control the reasoning behaviour with the reasoning enabled boolean. Learn more in our docs The model improves tool use, code generation, and reasoning efficiency, achieving performance comparable to DeepSeek-R1 on difficult benchmarks while responding more quickly. It supports structured tool calling, code agents, and search agents, making it suitable for research, coding, and agentic workflows.

Frequently asked questions about DeepSeek: DeepSeek V3.1 Terminus (exacto)

How much does DeepSeek: DeepSeek V3.1 Terminus (exacto) cost?

DeepSeek: DeepSeek V3.1 Terminus (exacto) costs $0.21 per million input tokens and $0.79 per million output tokens.

What is the context window of DeepSeek: DeepSeek V3.1 Terminus (exacto)?

DeepSeek: DeepSeek V3.1 Terminus (exacto) has a context window of 163,840 tokens (164K).

Is DeepSeek: DeepSeek V3.1 Terminus (exacto) good for coding?

On our coding benchmark index, DeepSeek: DeepSeek V3.1 Terminus (exacto) ranks #79 of 197 models, placing it in the broader range of the field for code generation and debugging.

What can DeepSeek: DeepSeek V3.1 Terminus (exacto) do?

DeepSeek: DeepSeek V3.1 Terminus (exacto) supports tool use and function calling.

Who created DeepSeek: DeepSeek V3.1 Terminus (exacto)?

DeepSeek: DeepSeek V3.1 Terminus (exacto) is developed by DeepSeek and was released on September 22, 2025.

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