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GPT-5 Nano (batch) vs Qwen3.5-35B-A3B

GPT-5 Nano (batch)

OpenAI

77#101
vs
Qwen3.5-35B-A3B

Alibaba

76#102
Signal-by-Signal Comparison
SignalGPT-5 Nano (batch)DeltaQwen3.5-35B-A3B
Capabilities
100
+17
83
Benchmarks
88
+12
76
Pricing
100
+1
99
Context window size
89
+3
86
Recency
68
-32
100
Output Capacity
85
-5
90
Overall Result
4 wins
of 6
2 wins
GPT-5 Nano (batch) wins 4 of 6 signals

Score History

Score History (24 data points)
GPT-5 Nano (batch)Qwen3.5-35B-A3B
GPT-5 Nano (batch)

76.8

current score

Leader

GPT-5 Nano (batch)

right now

Qwen3.5-35B-A3B

76

current score

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

GPT-5 Nano (batch)

OpenAI

Best Value
Per request$0.000125
Daily$0.42
Monthly$12.50
Annual$150.00

Qwen3.5-35B-A3B

Alibaba

Per request$0.000640
Daily$2.13
Monthly$64.00
Annual$768.00

GPT-5 Nano (batch) saves you $51.50/month

That's $618.00/year compared to Qwen3.5-35B-A3B at your current usage level of 100K calls/month.

80% cheaper
Choose GPT-5 Nano (batch) for cost optimization

GPT-5 Nano (batch) pricing:
Input:$0.02/M tokens
Output:$0.20/M tokens
Qwen3.5-35B-A3B pricing:
Input:$0.14/M tokens
Output:$1.00/M tokens
Winner
GPT-5 Nano (batch)

OpenAI

77

Composite Score

Qwen3.5-35B-A3B

Alibaba

76

Composite Score

Signal-by-Signal Comparison
MetricGPT-5 Nano (batch)Qwen3.5-35B-A3BWinner
Overall Score
77
76
GPT-5 Nano (batch)
Rank#101#102
GPT-5 Nano (batch)
Quality Rank#101#102
GPT-5 Nano (batch)
Adoption Rank#101#102
GPT-5 Nano (batch)
Parameters--35B--
Context Window400K262K
GPT-5 Nano (batch)
Pricing$0.02/$0.20/M$0.14/$1.00/M--
Signal Scores
Capabilities
100
83
GPT-5 Nano (batch)
Benchmarks
88
76
GPT-5 Nano (batch)
Pricing
100
99
GPT-5 Nano (batch)
Context window size
89
86
GPT-5 Nano (batch)
Recency
68
100
Qwen3.5-35B-A3B
Output Capacity
85
90
Qwen3.5-35B-A3B
Benchmark Head-to-Head(11 benchmarks)
GPT-5 Nano: 1Qwen3.5-35B-A3B: 1
GPT-5 Nano
Qwen3.5-35B-A3B
Normalized 0-100%
MMLU
93%-
MMLU-Pro
84.5%85.3%
GPQA Diamond
85%-
MATH-500
92.5%-
HumanEval
96.5%-
SWE-bench Verified
75%-
IFEval
92%-
BBH
90.5%-
Arena Elo
14651395
LiveBench
76%-
HLE
35%-
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-5 Nano (batch)Strong Performer

Scores 77/100 (rank #101), placing it in the top 66% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.5-35B-A3BStrong Performer

Scores 76/100 (rank #102), placing it in the top 65% 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 GPT-5 Nano (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (400K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Qwen3.5-35B-A3B 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
GPT-5 Nano (batch)Best Value
Input cost$0.02/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.003
Est. monthly (1M tokens/day)$3.37
Qwen3.5-35B-A3B
Input cost$0.14/M tokens
Output cost$1.00/M tokens
Cost per quality point$0.015
Est. monthly (1M tokens/day)$17.10

GPT-5 Nano (batch) offers 80% better value per quality point. At 1M tokens/day, you'd spend $3.37/month with GPT-5 Nano (batch) vs $17.10/month with Qwen3.5-35B-A3B - a $13.73 monthly difference.

Latency & Speed
GPT-5 Nano (batch)Faster
Speed score0/100
Qwen3.5-35B-A3B
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-5 Nano (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-5 Nano (batch) also offers lower per-token costs for high-volume support

GPT-5 Nano (batch)

Long document analysis

Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5 Nano (batch)

Batch data extraction

Lower output pricing ($0.20/M) reduces costs when processing thousands of records daily

GPT-5 Nano (batch)

Creative writing & content

Higher overall composite score (77/100) correlates with better nuance, coherence, and style in long-form content

GPT-5 Nano (batch)

Image understanding & OCR

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

GPT-5 Nano (batch)
Which Should You Choose?
Our recommendation:
GPT-5 Nano (batch)

GPT-5 Nano (batch) and Qwen3.5-35B-A3B are extremely close in overall performance (only 0.7999999999999972 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 80% lower pricing; better value at scale
  • 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

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-5 Nano (batch)Qwen3.5-35B-A3B
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-5 Nano (batch)

OpenAI

Best Value
$0.2850
estimated monthly cost

Qwen3.5-35B-A3B

Alibaba

$1.45
estimated monthly cost

GPT-5 Nano (batch) saves you $1.17/month

That's 80% cheaper than Qwen3.5-35B-A3B 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
ParameterGPT-5 Nano (batch)Qwen3.5-35B-A3B
Context Window400K262K
Max Output Tokens128,000262,144
Open SourceNoYes
CreatedAug 7, 2025Feb 25, 2026
Last updated: 16m ago

相关对比

GPT-5 Nano (batch) vs Qwen3.5-35B-A3B (2026) | LM Market Cap