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Qwen3.5 397B A17B vs Switchyard

Qwen3.5 397B A17B

Alibaba

71#113
vs
Switchyard

NVIDIA

40#230
Signal-by-Signal Comparison
SignalQwen3.5 397B A17BDeltaSwitchyard
Capabilities
83
+67
17
Benchmarks
70
+70
0
Pricing
96
-1000004
1000100
Context window size
86
-9
95
Recency
85
-15
100
Output Capacity
86
+66
20
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (38 data points)
Qwen3.5 397B A17BSwitchyard
Qwen3.5 397B A17B

70.7

current score

Leader

Qwen3.5 397B A17B

right now

Switchyard

40

current score

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

Qwen3.5 397B A17B

Alibaba

Per request$0.002300
Daily$7.67
Monthly$230.00
Annual$2760.00

Switchyard

NVIDIA

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

Switchyard saves you $230.00/month

That's $2760.00/year compared to Qwen3.5 397B A17B at your current usage level of 100K calls/month.

100% cheaper
Choose Switchyard for cost optimization

Qwen3.5 397B A17B pricing:
Input:$0.50/M tokens
Output:$3.60/M tokens
Switchyard pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
Qwen3.5 397B A17B

Alibaba

71

Composite Score

Switchyard

NVIDIA

40

Composite Score

Signal-by-Signal Comparison
MetricQwen3.5 397B A17BSwitchyardWinner
Overall Score
71
40
Qwen3.5 397B A17B
Rank#113#230
Qwen3.5 397B A17B
Quality Rank#113#230
Qwen3.5 397B A17B
Adoption Rank#113#230
Qwen3.5 397B A17B
Parameters397B----
Context Window262K1000K
Switchyard
Pricing$0.50/$3.60/MFree--
Signal Scores
Capabilities
83
17
Qwen3.5 397B A17B
Benchmarks
70
--
Qwen3.5 397B A17B
Pricing
96
1000100
Switchyard
Context window size
86
95
Switchyard
Recency
85
100
Switchyard
Output Capacity
86
20
Qwen3.5 397B A17B
Benchmark Head-to-Head(1 benchmarks)
Qwen3.5 397B: 0Switchyard: 0
Qwen3.5 397B
Switchyard
Normalized 0-100%
MMLU-Pro
87.8%-
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.

Qwen3.5 397B A17BStrong Performer

Scores 71/100 (rank #113), placing it in the top 61% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
SwitchyardEntry Level

Scores 40/100 (rank #230), placing it in the top 21% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Qwen3.5 397B A17B has a 31-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Qwen3.5 397B A17B when you need:

  • Multimodal workflows that require image understanding
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Switchyard when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1000K token context)
Cost-Performance Analysis
Qwen3.5 397B A17B
Input cost$0.50/M tokens
Output cost$3.60/M tokens
Cost per quality point$0.058
Est. monthly (1M tokens/day)$61.50
Switchyard
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
Qwen3.5 397B A17BFaster
Speed score0/100
Switchyard
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 397B A17B

Customer support chatbot

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

Qwen3.5 397B A17B

Long document analysis

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

Switchyard

Batch data extraction

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

Switchyard

Creative writing & content

Higher overall composite score (71/100) correlates with better nuance, coherence, and style in long-form content

Qwen3.5 397B A17B

Image understanding & OCR

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

Qwen3.5 397B A17B
Which Should You Choose?
Our recommendation:
Qwen3.5 397B A17B

Qwen3.5 397B A17B clearly outperforms Switchyard with a significant 30.700000000000003-point lead. For most general use cases, Qwen3.5 397B A17B is the stronger choice. However, Switchyard may still excel in niche scenarios.

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 NVIDIA

  • Choose for Cost - 100% lower pricing; better value at scale
Capability Comparison
CapabilityQwen3.5 397B A17BSwitchyard
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Modediffers
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Qwen3.5 397B A17B

Alibaba

$5.22
estimated monthly cost

Switchyard

NVIDIA

Best Value
$0.000000
estimated monthly cost

Switchyard saves you $5.22/month

That's 100% cheaper than Qwen3.5 397B A17B 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 397B A17BSwitchyard
Context Window262K1M
Max Output Tokens235,929--
Open SourceYesNo
CreatedFeb 16, 2026Sep 21, 2026
Last updated: 15m ago

相关对比

Qwen3.5 397B A17B vs Switchyard (2026) | LM Market Cap