---
title: "Tencent: Hunyuan A13B Instruct — unrated, priced in this catalogue · Undominated.ai"
canonical: https://undominated.ai/models/tencent__hunyuan-a13b-instruct/
description: "Tencent: Hunyuan A13B Instruct: $0.140/M in, $0.570/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero."
---

# Tencent: Hunyuan A13B Instruct — unrated, priced in this catalogue · Undominated.ai

> Tencent: Hunyuan A13B Instruct: $0.140/M in, $0.570/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero.

[Check base rates for this workload](/check/tencent__hunyuan-a13b-instruct/) [Cheaper alternatives](/alternatives/) [Family](/families/hunyuan/) [Compare models](https://undominated.ai/compare/?models=tencent%2Fhunyuan-a13b-instruct) Comparison context

Choose up to three standard models in Compare.

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

MODEL PROOF

# Hunyuan A13B Instruct

Tencent · 08 Jul 2025

 Balanced Summarise Chat Code gen Agentic

NOT INDEPENDENTLY RATED

## No independent LMArena score is published for this model.

 **$0.248** / 1M tokens Balanced · 3 tokens in per 1 out

Evidence as of 06 Oct 2026

 [openrouter/models](https://openrouter.ai/api/v1/models) Independent LMArena score Not independently rated
 Context window 131.07K
 Maximum output 117.96K
 Input modalities text
 Output modalities text
 Published input price $0.140 / 1M tokens
 Published output price $0.570 / 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 | $0.140 /M |
| --- | --- |
| Output | $0.570 /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.

 1 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 131,072 tokens Output limit 117,964 tokens Tools Not listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $0.140 | Output $0.570 | Precision fp8 | Uptime (1d) 100.00% |

### Independent scores

No independent benchmark has measured this model. Unrated is not a score of zero.

### Capability

| Context window | 131K |
| --- | --- |
| Max output | 117K |
| Input modes | text |
| Tool use | no |
| 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 | unrated |

Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark...

## Questions this page answers

 What does Hunyuan A13B Instruct cost?

$0.140/M in, $0.570/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

 Does Hunyuan A13B Instruct have an independent quality score?

Hunyuan A13B Instruct has no independent quality score in this catalogue. Unrated is not a score of zero.

 What beats Hunyuan A13B Instruct?

Hunyuan A13B Instruct has no independent quality score. Unrated is not a score of zero.

 Does this page use Artificial Analysis scores for Hunyuan A13B Instruct?

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

 Does a missing score mean Hunyuan A13B Instruct scored zero?

Unrated is not a score of zero.

MODEL MONUMENT

## Save or share this proof

 Download proof card · 1200 × 630 Preview and more sharing options

Tencent: Hunyuan A13B Instruct. Balanced workload. Not independently rated. Evidence as of 06 Oct 2026.

 Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card

## Related

No independent quality score, so there is no dominator to name. Unrated is not a clean bill of health.

 - Same vendor [Hy3](/models/tencent__hy3/)
- Tencent models [Tencent](/providers/tencent/)
- Same vendor [Hy-MT2-1.8B](/models/tencent__hy-mt2-1.8b/)
- Same vendor [Hy-MT2-30B-A3B](/models/tencent__hy-mt2-30b-a3b/)

## 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.

 Markdown Copy
 [![Hunyuan A13B Instruct — Undominated.ai dominance verdict](https://undominated.ai/badge/tencent__hunyuan-a13b-instruct.svg)](https://undominated.ai/models/tencent__hunyuan-a13b-instruct/)
 HTML Copy
 <a href="https://undominated.ai/models/tencent__hunyuan-a13b-instruct/"><img src="https://undominated.ai/badge/tencent__hunyuan-a13b-instruct.svg" alt="Hunyuan A13B Instruct — Undominated.ai dominance verdict" height="36"></a>

Direct file: [https://undominated.ai/badge/tencent__hunyuan-a13b-instruct.svg](https://undominated.ai/badge/tencent__hunyuan-a13b-instruct.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.

## Continue your investigation

 - [Explore model families](/families/)
- [Compare a shortlist](/compare/)
- [Check a model](/check/)
- [Understand the evidence](/methodology/)
