GPT-4.1 vs Hy3 preview

OpenAI

68#183

Tencent

68#182

Signal-by-Signal Comparison

Signal	GPT-4.1	Delta	Hy3 preview
Capabilities	83	+33	50
Benchmarks	70	+2	68
Pricing	92	-7	99
Context window size	96	+10	86
Recency	35	-65	100
Output Capacity	72	-14	86
Overall Result	3 wins	of 6	3 wins

It's a tie - both models win 3 signals each

Score History

Score History (34 data points)

GPT-4.1Hy3 preview

GPT-4.1

67.7

current score

Leader

Hy3 preview

right now

Hy3 preview

67.9

current score

LMMarketCap.com

Interactive Price Comparison

Quick presets

Monthly API calls

100Kcalls/month

Avg. input tokens/call

1,000tokens (~1,333 chars)

Avg. output tokens/call

500tokens (~667 chars)

GPT-4.1

OpenAI

Per request$0.006000

Daily$20.00

Monthly$600.00

Annual$7200.00

Hy3 preview

Tencent

Best Value

Per request$0.000480

Daily$1.60

Monthly$48.00

Annual$576.00

Hy3 preview saves you $552.00/month

That's $6624.00/year compared to GPT-4.1 at your current usage level of 100K calls/month.

92% cheaper

Choose Hy3 preview for cost optimization

GPT-4.1 pricing:

Input:$2.00/M tokens

Output:$8.00/M tokens

Hy3 preview pricing:

Input:$0.18/M tokens

Output:$0.60/M tokens

GPT-4.1

OpenAI

Composite Score

Winner

Hy3 preview

Tencent

Composite Score

Signal-by-Signal Comparison

Metric	GPT-4.1	Hy3 preview	Winner
Overall Score	68	68	Hy3 preview
Rank	#183	#182	Hy3 preview
Quality Rank	#183	#182	Hy3 preview
Adoption Rank	#183	#182	Hy3 preview
Parameters	--	--	--
Context Window	1048K	262K	GPT-4.1
Pricing	$2.00/$8.00/M	$0.18/$0.60/M	--
Signal Scores
Capabilities	83	50	GPT-4.1
Benchmarks	70	68	GPT-4.1
Pricing	92	99	Hy3 preview
Context window size	96	86	GPT-4.1
Recency	35	100	Hy3 preview
Output Capacity	72	86	Hy3 preview

Benchmark Head-to-Head(12 benchmarks)

GPT-4.1: 0Hy3 preview: 1

GPT-4.1

Hy3 preview

Normalized 0-100%

MMLU

89.2%-

MMLU-Pro

81.8%-

GPQA Diamond

56%-

MATH-500

78.5%-

HumanEval

91.5%-

SWE-bench Verified

54.6%-

IFEval

88.2%-

BBH

84%-

Arena Elo

13001409

LiveBench

64.5%-

HLE

5.4%-

BigCodeBench

31.8%-

Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

GPT-4.1Competitive

Scores 68/100 (rank #183), placing it in the top 37% of all 290 models tracked.

Raw Quality0/100

Cost Efficiency0/100

Speed0/100

Hy3 previewCompetitive

Scores 68/100 (rank #182), placing it in the top 38% of all 290 models tracked.

Raw Quality0/100

Cost Efficiency0/100

Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose GPT-4.1 when you need:

Processing long documents or large codebases (1048K token context)
Multimodal workflows that require image understanding

Choose Hy3 preview when you need:

High-volume production workloads where API costs must be minimized
Step-by-step reasoning and chain-of-thought problem solving
Self-hosted deployments where you need full control over the model

Cost-Performance Analysis

GPT-4.1

Input cost$2.00/M tokens

Output cost$8.00/M tokens

Cost per quality point$0.148

Est. monthly (1M tokens/day)$150.00

Hy3 previewBest Value

Input cost$0.18/M tokens

Output cost$0.60/M tokens

Cost per quality point$0.011

Est. monthly (1M tokens/day)$11.70

Hy3 preview offers 92% better value per quality point. At 1M tokens/day, you'd spend $11.70/month with Hy3 preview vs $150.00/month with GPT-4.1 - a $138.30 monthly difference.

Latency & Speed

GPT-4.1Faster

Speed score0/100

Hy3 preview

Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

GPT-4.1

Customer support chatbot

Suitable for user-facing chat with competitive response times. Hy3 preview also offers lower per-token costs for high-volume support

GPT-4.1

Long document analysis

Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-4.1

Batch data extraction

Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily

Hy3 preview

Creative writing & content

Higher overall composite score (68/100) correlates with better nuance, coherence, and style in long-form content

Hy3 preview

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

GPT-4.1

Which Should You Choose?

Our recommendation:

Hy3 preview

GPT-4.1 and Hy3 preview are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

By Use Case

Best for Quality

GPT-4.1

Marginally better benchmark scores; both are excellent

Best for Cost

Hy3 preview

92% lower pricing; better value at scale

Best for Reliability

GPT-4.1

Higher uptime and faster response speeds

Best for Prototyping

GPT-4.1

Stronger community support and better developer experience

Best for Production

GPT-4.1

Wider enterprise adoption and proven at scale

GPT-4.1

by OpenAI

Choose for Quality - Marginally better benchmark scores; both are excellent
Choose for Reliability - Higher uptime and faster response speeds
Choose for Prototyping - Stronger community support and better developer experience
Choose for Production - Wider enterprise adoption and proven at scale