---
title: "DeepSeek: DeepSeek V3.1 Terminus — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/deepseek__deepseek-v3.1-terminus/
description: "DeepSeek: DeepSeek V3.1 Terminus: $0.270/M in, $1.00/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements."
---

# DeepSeek: DeepSeek V3.1 Terminus — price, capability and what beats it · Undominated.ai

> DeepSeek: DeepSeek V3.1 Terminus: $0.270/M in, $1.00/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements.

[Check base rates for this workload](/check/deepseek__deepseek-v3.1-terminus/) [Cheaper alternatives](/alternatives/deepseek__deepseek-v3.1-terminus/) [Family](/families/deepseek/) [Compare models](https://undominated.ai/compare/?models=deepseek%2Fdeepseek-v3.1-terminus) Comparison context

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Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls.

MODEL PROOF

# DeepSeek V3.1 Terminus

DeepSeek · 22 Sept 2025

 Balanced Summarise Chat Code gen Agentic

BETTER VALUE OPTION

## A stored alternative has an equal-or-higher measured score and an equal-or-lower price.

 **$0.453** / 1M tokens Balanced · 3 tokens in per 1 out

Serving precision differs between offers.

[GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) · Δ score 52.5 points · 48% lower measured price · $0.238 / 1M tokens

[MiMo-V2.6-Flash](/models/xiaomi__mimo-v2.6-flash/) is a further stored option with these losses: 147K → 131K max output

Evidence as of 06 Oct 2026

 [openrouter/models](https://openrouter.ai/api/v1/models) [LMArena · cc-by-4.0](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset) Independent LMArena score 1,417.1 ± 9.74 · 3,599 votes
 Context window 163.84K
 Maximum output 147.46K
 Input modalities text
 Output modalities text
 Published input price $0.270 / 1M tokens
 Published output price $1.00 / 1M tokens
 Pricing kind fixed

Inspect [complete billing conditions](#billing-details) and endpoint terms below.

Price from SiliconFlow: the cheapest offer that is serving, at standard delivery and at a declared precision that is not 4-bit (fp8), at its standard rate. The maker’s own precision is not known.

 Every price dimension · USD per million tokens

| Input | $0.270 /M |
| --- | --- |
| Output | $1.00 /M |
| Cached input | Unknown /M |
| Cache write | Unknown /M |
| Cache write 1h | Unknown /M |
| Reasoning | Unknown /M |

### Who sells it

The same weights, different shops. Cheapest is not like-for-like when serving precision differs.

Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.270/M from SiliconFlow.

 2 provider offers · rates, limits and conditions

Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test.

| Seller | Input | Output | Precision | Uptime (1d) |
| --- | --- | --- | --- | --- |
| Seller SiliconFlow siliconflow/fp8 Endpoint terms Cached input /M Unknown Context limit 163,840 tokens Output limit 147,456 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 98.24% | Input $0.270 | Output $1.00 | Precision fp8 | Uptime (1d) 98.50% |
| Seller StreamLake streamlake Endpoint terms Cached input /M Unknown Context limit 128,000 tokens Output limit 32,000 tokens Tools Not listed by endpoint Reasoning Listed by endpoint Promotional discount 40% · already included in these rates Uptime · last 30 minutes 99.86% | Input $0.343 | Output $1.03 | Precision undeclared | Uptime (1d) 99.96% |

### Independent scores

| LMArena Elo | 1417.1 default |
| --- | --- |

LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero.

#### Best rankings by task

 - UI components #57 1189
- Code categories #61 1179
- 3D #61 1148
- Websites #62 1193
- Data visualisation #64 1176
- SVG #70 1064
- Game development #75 1143

Per-task Elo and rank from [Design Arena](https://designarena.ai), via OpenRouter’s model feed. The rank is the feed’s, and it counts models OpenRouter does not list.

### Capability

| Context window | 163K |
| --- | --- |
| Max output | 147K |
| Input modes | text |
| Tool use | yes |
| Reasoning | optional |
| Knowledge cutoff | 2025-03-31 |
| Open weights | Unknown |

### Provenance

| Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) |
| --- | --- |
| Fetched | 2026-10-06 |
| Quality data | verified |

DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-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...

## Questions this page answers

 What does DeepSeek V3.1 Terminus cost?

$0.270/M in, $1.00/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

 Does DeepSeek V3.1 Terminus have an independent quality score?

DeepSeek V3.1 Terminus has an LMArena score in this catalogue.

 What beats DeepSeek V3.1 Terminus?

GLM 5.3 Flash has an equal-or-higher measured score and an equal-or-lower price.

 Does this page use Artificial Analysis scores for DeepSeek V3.1 Terminus?

No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated.

 Is the cheapest DeepSeek V3.1 Terminus endpoint the same product?

Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.270/M from SiliconFlow.

MODEL MONUMENT

## Save or share this proof

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DeepSeek: DeepSeek V3.1 Terminus. Balanced workload. Better value option available. Evidence as of 06 Oct 2026.

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## Related

 - Both better and cheaper [GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/)
- Higher score and cheaper, with a named trade [MiMo-V2.6-Flash](/models/xiaomi__mimo-v2.6-flash/)
- Nearby on the capability axis [Qwen3.5-122B-A10B](/models/qwen__qwen3.5-122b-a10b/)
- Same vendor [DeepSeek V3.1](/models/deepseek__deepseek-chat-v3.1/)
- DeepSeek models [DeepSeek](/providers/deepseek/)
- Where this model appears [spreads](/spreads/)
- Nearby on the capability axis [Gemini 2.5 Flash](/models/google__gemini-2.5-flash/)
- Same vendor [DeepSeek V3.2 Exp](/models/deepseek__deepseek-v3.2-exp/)
- Where this model appears [traps](/traps/)
- Nearby on the capability axis [Qwen3 Next 80B A3B Instruct](/models/qwen__qwen3-next-80b-a3b-instruct/)
- Same vendor [DeepSeek V3.2](/models/deepseek__deepseek-v3.2/)
- Where this model appears [significance](/significance/)

## Badge

The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not.

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Direct file: [https://undominated.ai/badge/deepseek__deepseek-v3.1-terminus.svg](https://undominated.ai/badge/deepseek__deepseek-v3.1-terminus.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy.

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