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DeepSeek V3.2 Exp vs Qwen3.8 27B (free)

DeepSeek V3.2 Exp

DeepSeek

72#151
vs
Qwen3.8 27B (free)

Alibaba

73#145
Signal-by-Signal Comparison
SignalDeepSeek V3.2 ExpDeltaQwen3.8 27B (free)
Capabilities
67
-17
83
Benchmarks
70
-2
72
Pricing
100
0
100
Context window size
83
-3
86
Recency
68
-32
100
Output Capacity
77
-9
86
Overall Result
0 wins
of 6
6 wins
Qwen3.8 27B (free) wins 6 of 6 signals

Score History

Score History (32 data points)
DeepSeek V3.2 ExpQwen3.8 27B (free)
DeepSeek V3.2 Exp

71.8

current score

Leader

Qwen3.8 27B (free)

right now

Qwen3.8 27B (free)

72.9

current score

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

DeepSeek V3.2 Exp

DeepSeek

Per request$0.000475
Daily$1.58
Monthly$47.50
Annual$570.00

Qwen3.8 27B (free)

Alibaba

Best Value
Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00

Qwen3.8 27B (free) saves you $47.50/month

That's $570.00/year compared to DeepSeek V3.2 Exp at your current usage level of 100K calls/month.

100% cheaper
Choose Qwen3.8 27B (free) for cost optimization

DeepSeek V3.2 Exp pricing:
Input:$0.27/M tokens
Output:$0.41/M tokens
Qwen3.8 27B (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
DeepSeek V3.2 Exp

DeepSeek

72

Composite Score

Winner
Qwen3.8 27B (free)

Alibaba

73

Composite Score

Signal-by-Signal Comparison
MetricDeepSeek V3.2 ExpQwen3.8 27B (free)Winner
Overall Score
72
73
Qwen3.8 27B (free)
Rank#151#145
Qwen3.8 27B (free)
Quality Rank#151#145
Qwen3.8 27B (free)
Adoption Rank#151#145
Qwen3.8 27B (free)
Parameters--27B--
Context Window164K262K
Qwen3.8 27B (free)
Pricing$0.27/$0.41/MFree--
Signal Scores
Capabilities
67
83
Qwen3.8 27B (free)
Benchmarks
70
72
Qwen3.8 27B (free)
Pricing
100
100
Qwen3.8 27B (free)
Context window size
83
86
Qwen3.8 27B (free)
Recency
68
100
Qwen3.8 27B (free)
Output Capacity
77
86
Qwen3.8 27B (free)
Benchmark Head-to-Head(1 benchmarks)
DeepSeek V3.2: 0Qwen3.8 27B: 1
DeepSeek V3.2
Qwen3.8 27B
Normalized 0-100%
Arena Elo
14221437
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.

DeepSeek V3.2 ExpStrong Performer

Scores 72/100 (rank #151), placing it in the top 48% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.8 27B (free)Strong Performer

Scores 73/100 (rank #145), placing it in the top 50% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-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 DeepSeek V3.2 Exp when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Qwen3.8 27B (free) when you need:

  • High-volume production workloads where API costs must be minimized
  • 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
Cost-Performance Analysis
DeepSeek V3.2 Exp
Input cost$0.27/M tokens
Output cost$0.41/M tokens
Cost per quality point$0.009
Est. monthly (1M tokens/day)$10.20
Qwen3.8 27B (free)
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00

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

Latency & Speed
DeepSeek V3.2 ExpFaster
Speed score0/100
Qwen3.8 27B (free)
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

DeepSeek V3.2 Exp

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3.8 27B (free) also offers lower per-token costs for high-volume support

DeepSeek V3.2 Exp

Long document analysis

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

Qwen3.8 27B (free)

Batch data extraction

Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily

Qwen3.8 27B (free)

Creative writing & content

Higher overall composite score (73/100) correlates with better nuance, coherence, and style in long-form content

Qwen3.8 27B (free)

Image understanding & OCR

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

Qwen3.8 27B (free)
Which Should You Choose?
Our recommendation:
Qwen3.8 27B (free)

DeepSeek V3.2 Exp and Qwen3.8 27B (free) are extremely close in overall performance (only 1.1000000000000085 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by DeepSeek

  • 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 Alibaba

  • Choose for Cost - 100% lower pricing; better value at scale
Capability Comparison
CapabilityDeepSeek V3.2 ExpQwen3.8 27B (free)
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)

DeepSeek V3.2 Exp

DeepSeek

$0.9780
estimated monthly cost

Qwen3.8 27B (free)

Alibaba

Best Value
$0.000000
estimated monthly cost

Qwen3.8 27B (free) saves you $0.9780/month

That's 100% cheaper than DeepSeek V3.2 Exp 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
ParameterDeepSeek V3.2 ExpQwen3.8 27B (free)
Context Window164K262K
Max Output Tokens65,536235,929
Open SourceYesYes
CreatedSep 29, 2025Aug 14, 2026
Last updated: 9m ago

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