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  3. DeepSeek R1 vs Tencent: Hunyuan A13B Instruct

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

DeepSeek R1 vs Tencent: Hunyuan A13B Instruct benchmark

This page compares DeepSeek R1 (DeepSeek) and Tencent: Hunyuan A13B Instruct (tencent) using the latest snapshots we have as of Aug 17, 2026. Tencent: Hunyuan A13B Instruct wins on output price at $0.57/1M. Tencent: Hunyuan A13B Instruct has the larger context window (131k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

Quick answer

DeepSeek R1 vs Tencent: Hunyuan A13B Instruct is a dated snapshot, not a lab score. Tencent: Hunyuan A13B Instruct is the cheaper output token. Elo is crowd preference, not an exam. Pick the column that matches the job.
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DeepSeek

DeepSeek R1

Open-weights reasoning model trained with large-scale RL.

Elo 1,358$2.5/1M out

tencent

Tencent: Hunyuan A13B Instruct

Auto-discovered from OpenRouter (tencent/hunyuan-a13b-instruct). Preview until a second source matches.

$0.5700000000000001/1M out
DeepSeek R1 Inference Compute Profile
Inference-Time Compute & Reasoning EffortDynamic CoT

DeepSeek R1 Reasoning Scaler & Token Billing Simulator

Param: enable_reasoning

Reasoning models scale test-time compute by generating hidden chain-of-thought (CoT) tokens. These tokens are billed at standard output rates and directly expand latency (TTFT) in exchange for higher GPQA Diamond and SWE-bench Verified problem resolve rates.

Estimated TTFT
420 ms
1.0x (Standard eval)
CoT Thinking Tokens
~2,800
Billed as output tokens
Est. Cost / 1k Calls
$8.10
7.4x base invoice
STEM / SWE Boost
+6.5%
GPQA & SWE-bench scaling
Medium (Full RL CoT) Operational Profile

Standard large-scale RL reasoning trace with self-correction.

Direct Provider APIDeepSeek
"enable_reasoning": true
OpenRouter Unified APIUnified Gateway
"reasoning": {
  "effort": "medium",
  "max_tokens": 2800
}

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Quick vs:vs Claude Opus 4.5vs Claude Opus 4.6vs Claude Sonnet 4.5vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek R1 (6)vsTencent: Hunyuan A13B Instruct (3)
DeepSeek R1: 6W (67%)Overall: DeepSeek R1Tencent: Hunyuan A13B Instruct: 3W (33%)
← DeepSeek R1Tencent: Hunyuan A13B Instruct →
DeepSeek R1 (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo
1,358vs—
Coding Elo
—vs—
SWE-bench
65.2%vs—
LiveBench
59%vs—
GPQA Diamond
79.8%vs—
DeepSeek R1: 4WTencent: Hunyuan A13B Instruct: 0W
DeepSeek R1 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
62 tok/svs—
Time to first token
420 msvs—
DeepSeek R1: 2WTencent: Hunyuan A13B Instruct: 0W
Tencent: Hunyuan A13B Instruct (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$2.5/1Mvs$0.57/1M
Input price
$0.7/1Mvs$0.14/1M
Context window
64kvs131k
DeepSeek R1: 0WTencent: Hunyuan A13B Instruct: 3W
Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageDeepSeek R1 4/6
Preference Elo

No shared data

No shared data

Throughput Speed

No shared data

No shared data

Token Price Efficiency

Tencent: Hunyuan A13B Instruct

$1.93/1M cheaper

Full Benchmark Score Matrix

—
Elo
High is better
1,358
EloHigh is better
—
LiveBench
High is better
59%
LiveBenchHigh is better
—
SWE-bench
High is better
65.2%
SWE-benchHigh is better
—
GPQA
High is better
79.8%
GPQAHigh is better
—
TTFT
Low is better
420 ms
TTFTLow is better
—
Speed
High is better
62 tok/s
SpeedHigh is better
—
In $
Low is better
$0.70 / 1M
In $Low is better
$0.14 / 1M+400%
Out $
Low is better
$2.50 / 1M
Out $Low is better
$0.57 / 1M+339%
Context
High is better
64k
ContextHigh is better
131k+105%
Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 78% with Tencent: Hunyuan A13B Instruct
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
DeepSeek R1$62.00 / mo
In: $24.5Out: $37.5
Tencent: Hunyuan A13B Instruct$13.45 / mo
In: $4.9Out: $8.55
Estimated Cost Delta

Tencent: Hunyuan A13B Instruct is estimated to save $48.55/month ($583/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Tencent: Hunyuan A13B Instruct:Pick Tencent: Hunyuan A13B Instruct when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatTencent: Hunyuan A13B Instruct

Lower output list price ($0.57/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGTencent: Hunyuan A13B Instruct

Larger window (131k).

Screenshots / visionTencent: Hunyuan A13B Instruct

Tencent: Hunyuan A13B Instruct is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatTencent: Hunyuan A13B InstructLower output list price ($0.57/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGTencent: Hunyuan A13B InstructLarger window (131k).
Screenshots / visionTencent: Hunyuan A13B InstructTencent: Hunyuan A13B Instruct is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchJan 20, 2025

DeepSeek R1 stays as the open-weights RL baseline

Jan 2025 reasoning model. Still searched. V4 Pro is the newer DeepSeek buy.

Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
DeepSeek

DeepSeek R1

Elo 1,358
LiveBench59%
SWE-bench65.2%
Speed62 tok/s
Output cost$2.5/1M
tencent

Tencent: Hunyuan A13B Instruct

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$0.57/1M

Frequently Asked Questions

Which is better overall, DeepSeek R1 or Tencent: Hunyuan A13B Instruct?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, DeepSeek R1 or Tencent: Hunyuan A13B Instruct?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
Tencent: Hunyuan A13B Instruct output tokens are $0.57/1M versus $2.5/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek R1 or Tencent: Hunyuan A13B Instruct?
We do not have TTFT for both models.
Which has the larger context window?
Tencent: Hunyuan A13B Instruct accepts 131k tokens versus 64k.
Can I self-host either model?
DeepSeek R1 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. DeepSeek R1 and Tencent: Hunyuan A13B Instruct Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Jan 20, 2025

    DeepSeek R1 stays as the open-weights RL baseline

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