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Qwen3.8 Max vs R1 0528

Qwen3.8 Max

Alibaba

80#91
vs
R1 0528

DeepSeek

79#93
Signal-by-Signal Comparison
SignalQwen3.8 MaxDeltaR1 0528
Capabilities
83
+17
67
Benchmarks
79
-2
81
Pricing
94
-4
98
Context window size
95
+12
83
Recency
100
+47
53
Output Capacity
85
+10
75
Overall Result
4 wins
of 6
2 wins
Qwen3.8 Max wins 4 of 6 signals

Score History

Score History (26 data points)
Qwen3.8 MaxR1 0528
Qwen3.8 Max

79.8

current score

Leader

Qwen3.8 Max

right now

R1 0528

79.4

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Qwen3.8 Max

Alibaba

Per request$0.005000
Daily$16.67
Monthly$500.00
Annual$6000.00

R1 0528

DeepSeek

Best Value
Per request$0.001575
Daily$5.25
Monthly$157.50
Annual$1890.00

R1 0528 saves you $342.50/month

That's $4110.00/year compared to Qwen3.8 Max at your current usage level of 100K calls/month.

69% cheaper
Choose R1 0528 for cost optimization

Qwen3.8 Max pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
R1 0528 pricing:
Input:$0.50/M tokens
Output:$2.15/M tokens
Winner
Qwen3.8 Max

Alibaba

80

Composite Score

R1 0528

DeepSeek

79

Composite Score

Signal-by-Signal Comparison
MetricQwen3.8 MaxR1 0528Winner
Overall Score
80
79
Qwen3.8 Max
Rank#91#93
Qwen3.8 Max
Quality Rank#91#93
Qwen3.8 Max
Adoption Rank#91#93
Qwen3.8 Max
Parameters------
Context Window1000K164K
Qwen3.8 Max
Pricing$2.00/$6.00/M$0.50/$2.15/M--
Signal Scores
Capabilities
83
67
Qwen3.8 Max
Benchmarks
79
81
R1 0528
Pricing
94
98
R1 0528
Context window size
95
83
Qwen3.8 Max
Recency
100
53
Qwen3.8 Max
Output Capacity
85
75
Qwen3.8 Max
Benchmark Head-to-Head(10 benchmarks)
Qwen3.8 Max: 1R1 0528: 0
Qwen3.8 Max
R1 0528
Normalized 0-100%
MMLU
-91.5%
MMLU-Pro
-83.4%
GPQA Diamond
-76%
MATH-500
-97.8%
SWE-bench Verified
-57.6%
AIME 2024
-84%
IFEval
-85.5%
BBH
-86.5%
Arena Elo
14911380
LiveBench
-69.5%
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.

Qwen3.8 MaxStrong Performer

Scores 80/100 (rank #91), placing it in the top 69% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
R1 0528Strong Performer

Scores 79/100 (rank #93), placing it in the top 68% 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 Qwen3.8 Max when you need:

  • Processing long documents or large codebases (1000K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose R1 0528 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
Qwen3.8 Max
Input cost$2.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.100
Est. monthly (1M tokens/day)$120.00
R1 0528Best Value
Input cost$0.50/M tokens
Output cost$2.15/M tokens
Cost per quality point$0.033
Est. monthly (1M tokens/day)$39.75

R1 0528 offers 67% better value per quality point. At 1M tokens/day, you'd spend $39.75/month with R1 0528 vs $120.00/month with Qwen3.8 Max - a $80.25 monthly difference.

Latency & Speed
Qwen3.8 MaxFaster
Speed score0/100
R1 0528
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

Qwen3.8 Max

Customer support chatbot

Suitable for user-facing chat with competitive response times. R1 0528 also offers lower per-token costs for high-volume support

Qwen3.8 Max

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3.8 Max

Batch data extraction

Lower output pricing ($2.15/M) reduces costs when processing thousands of records daily

R1 0528

Creative writing & content

Higher overall composite score (80/100) correlates with better nuance, coherence, and style in long-form content

Qwen3.8 Max

Image understanding & OCR

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

Qwen3.8 Max
Which Should You Choose?
Our recommendation:
Qwen3.8 Max

Qwen3.8 Max and R1 0528 are extremely close in overall performance (only 0.3999999999999915 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Qwen3.8 Max
Recommended

by Alibaba

  • 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

by DeepSeek

  • Choose for Cost - 67% lower pricing; better value at scale
Capability Comparison
CapabilityQwen3.8 MaxR1 0528
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Qwen3.8 Max

Alibaba

$10.80
estimated monthly cost

R1 0528

DeepSeek

Best Value
$3.48
estimated monthly cost

R1 0528 saves you $7.32/month

That's 68% cheaper than Qwen3.8 Max at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterQwen3.8 MaxR1 0528
Context Window1M164K
Max Output Tokens131,07232,768
Open SourceNoYes
CreatedAug 3, 2026May 28, 2025
Last updated: 6m ago

相关对比

Qwen3.8 Max vs R1 0528 (2026) | LM Market Cap