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Qwen3.5-122B-A10B vs R1 0528

Qwen3.5-122B-A10B

Alibaba

78#109
vs
R1 0528

DeepSeek

79#90
Signal-by-Signal Comparison
SignalQwen3.5-122B-A10BDeltaR1 0528
Capabilities
83
+17
67
Benchmarks
78
-3
81
Pricing
98
0
98
Context window size
86
+3
83
Recency
100
+47
53
Output Capacity
82
+7
75
Overall Result
4 wins
of 6
2 wins
Qwen3.5-122B-A10B wins 4 of 6 signals

Score History

Score History (25 data points)
Qwen3.5-122B-A10BR1 0528
Qwen3.5-122B-A10B

77.7

current score

Leader

R1 0528

right now

R1 0528

79.4

current score

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

Qwen3.5-122B-A10B

Alibaba

Best Value
Per request$0.001490
Daily$4.97
Monthly$149.00
Annual$1788.00

R1 0528

DeepSeek

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

Qwen3.5-122B-A10B saves you $8.50/month

That's $102.00/year compared to R1 0528 at your current usage level of 100K calls/month.

5% cheaper
Choose Qwen3.5-122B-A10B for cost optimization

Qwen3.5-122B-A10B pricing:
Input:$0.29/M tokens
Output:$2.40/M tokens
R1 0528 pricing:
Input:$0.50/M tokens
Output:$2.15/M tokens
Qwen3.5-122B-A10B

Alibaba

78

Composite Score

Winner
R1 0528

DeepSeek

79

Composite Score

Signal-by-Signal Comparison
MetricQwen3.5-122B-A10BR1 0528Winner
Overall Score
78
79
R1 0528
Rank#109#90
R1 0528
Quality Rank#109#90
R1 0528
Adoption Rank#109#90
R1 0528
Parameters122B----
Context Window262K164K
Qwen3.5-122B-A10B
Pricing$0.29/$2.40/M$0.50/$2.15/M--
Signal Scores
Capabilities
83
67
Qwen3.5-122B-A10B
Benchmarks
78
81
R1 0528
Pricing
98
98
R1 0528
Context window size
86
83
Qwen3.5-122B-A10B
Recency
100
53
Qwen3.5-122B-A10B
Output Capacity
82
75
Qwen3.5-122B-A10B
Benchmark Head-to-Head(10 benchmarks)
Qwen3.5-122B-A10B: 2R1 0528: 0
Qwen3.5-122B-A10B
R1 0528
Normalized 0-100%
MMLU
-91.5%
MMLU-Pro
86.7%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
14171380
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.

Qwen3.5-122B-A10BStrong Performer

Scores 78/100 (rank #109), placing it in the top 63% of all 290 models tracked.

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

Scores 79/100 (rank #90), placing it in the top 69% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 2-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 Qwen3.5-122B-A10B when you need:

  • Processing long documents or large codebases (262K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose R1 0528 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Qwen3.5-122B-A10B
Input cost$0.29/M tokens
Output cost$2.40/M tokens
Cost per quality point$0.035
Est. monthly (1M tokens/day)$40.35
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

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

Latency & Speed
Qwen3.5-122B-A10BFaster
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

Qwen3.5-122B-A10B

Customer support chatbot

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

Qwen3.5-122B-A10B

Long document analysis

Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3.5-122B-A10B

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 (79/100) correlates with better nuance, coherence, and style in long-form content

R1 0528

Image understanding & OCR

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

Qwen3.5-122B-A10B
Which Should You Choose?
Our recommendation:
R1 0528

Qwen3.5-122B-A10B and R1 0528 are extremely close in overall performance (only 1.7000000000000028 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

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
R1 0528
Recommended

by DeepSeek

  • Choose for Cost - 1% lower pricing; better value at scale
Capability Comparison
CapabilityQwen3.5-122B-A10BR1 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)

Qwen3.5-122B-A10B

Alibaba

Best Value
$3.40
estimated monthly cost

R1 0528

DeepSeek

$3.48
estimated monthly cost

Qwen3.5-122B-A10B saves you $0.0780/month

That's 2% cheaper than R1 0528 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
ParameterQwen3.5-122B-A10BR1 0528
Context Window262K164K
Max Output Tokens81,92032,768
Open SourceYesYes
CreatedFeb 25, 2026May 28, 2025
Last updated: 32m ago

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