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Qwen3 235B A22B Instruct 2507 vs Switchyard

vs
Switchyard

NVIDIA

40#230
Signal-by-Signal Comparison
SignalQwen3 235B A22B Instruct 2507DeltaSwitchyard
Capabilities
50
+33
17
Benchmarks
64
+64
0
Pricing
99
-1000001
1000100
Context window size
86
-9
95
Recency
47
-53
100
Output Capacity
81
+61
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 235B A22B Instruct 2507Switchyard
Qwen3 235B A22B Instruct 2507

64.7

current score

Leader

Qwen3 235B A22B Instruct 2507

right now

Switchyard

40

current score

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

Qwen3 235B A22B Instruct 2507

Alibaba

Per request$0.000540
Daily$1.80
Monthly$54.00
Annual$648.00

Switchyard

NVIDIA

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

Switchyard saves you $54.00/month

That's $648.00/year compared to Qwen3 235B A22B Instruct 2507 at your current usage level of 100K calls/month.

100% cheaper
Choose Switchyard for cost optimization

Qwen3 235B A22B Instruct 2507 pricing:
Input:$0.14/M tokens
Output:$0.80/M tokens
Switchyard pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
Qwen3 235B A22B Instruct 2507

Alibaba

65

Composite Score

Switchyard

NVIDIA

40

Composite Score

Signal-by-Signal Comparison
MetricQwen3 235B A22B Instruct 2507SwitchyardWinner
Overall Score
65
40
Qwen3 235B A22B Instruct 2507
Rank#150#230
Qwen3 235B A22B Instruct 2507
Quality Rank#150#230
Qwen3 235B A22B Instruct 2507
Adoption Rank#150#230
Qwen3 235B A22B Instruct 2507
Parameters235B----
Context Window262K1000K
Switchyard
Pricing$0.14/$0.80/MFree--
Signal Scores
Capabilities
50
17
Qwen3 235B A22B Instruct 2507
Benchmarks
64
--
Qwen3 235B A22B Instruct 2507
Pricing
99
1000100
Switchyard
Context window size
86
95
Switchyard
Recency
47
100
Switchyard
Output Capacity
81
20
Qwen3 235B A22B Instruct 2507
Benchmark Head-to-Head(1 benchmarks)
Qwen3 235B: 0Switchyard: 0
Qwen3 235B
Switchyard
Normalized 0-100%
MMLU-Pro
68.2%-
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 235B A22B Instruct 2507Competitive

Scores 65/100 (rank #150), placing it in the top 49% 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 235B A22B Instruct 2507 has a 25-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 235B A22B Instruct 2507 when you need:

  • Agentic applications using tool/function calling
  • 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 235B A22B Instruct 2507
Input cost$0.14/M tokens
Output cost$0.80/M tokens
Cost per quality point$0.015
Est. monthly (1M tokens/day)$14.10
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 235B A22B Instruct 2507Faster
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 235B A22B Instruct 2507

Customer support chatbot

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

Qwen3 235B A22B Instruct 2507

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 (65/100) correlates with better nuance, coherence, and style in long-form content

Qwen3 235B A22B Instruct 2507
Which Should You Choose?
Our recommendation:
Qwen3 235B A22B Instruct 2507

Qwen3 235B A22B Instruct 2507 clearly outperforms Switchyard with a significant 24.700000000000003-point lead. For most general use cases, Qwen3 235B A22B Instruct 2507 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 235B A22B Instruct 2507Switchyard
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Modediffers
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Qwen3 235B A22B Instruct 2507

Alibaba

$1.21
estimated monthly cost

Switchyard

NVIDIA

Best Value
$0.000000
estimated monthly cost

Switchyard saves you $1.21/month

That's 100% cheaper than Qwen3 235B A22B Instruct 2507 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 235B A22B Instruct 2507Switchyard
Context Window262K1M
Max Output Tokens117,964--
Open SourceYesNo
CreatedJul 21, 2025Sep 21, 2026
Last updated: 15m ago

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Qwen3 235B A22B Instruct 2507 vs Switchyard (2026) | LM Market Cap