Skip to content

GPT-4.1 (batch) vs Switchyard

GPT-4.1 (batch)

OpenAI

68#138
vs
Switchyard

NVIDIA

40#228
Signal-by-Signal Comparison
SignalGPT-4.1 (batch)DeltaSwitchyard
Capabilities
83
+67
17
Benchmarks
70
+70
0
Pricing
96
-1000004
1000100
Context window size
96
+0
95
Recency
29
-71
100
Output Capacity
72
+52
20
Overall Result
4 wins
of 6
2 wins
GPT-4.1 (batch) wins 4 of 6 signals

Score History

Score History (13 data points)
GPT-4.1 (batch)Switchyard
GPT-4.1 (batch)

67.7

current score

Leader

GPT-4.1 (batch)

right now

Switchyard

40

current score

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

GPT-4.1 (batch)

OpenAI

Per request$0.003000
Daily$10.00
Monthly$300.00
Annual$3600.00

Switchyard

NVIDIA

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

Switchyard saves you $300.00/month

That's $3600.00/year compared to GPT-4.1 (batch) at your current usage level of 100K calls/month.

100% cheaper
Choose Switchyard for cost optimization

GPT-4.1 (batch) pricing:
Input:$1.00/M tokens
Output:$4.00/M tokens
Switchyard pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
GPT-4.1 (batch)

OpenAI

68

Composite Score

Switchyard

NVIDIA

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-4.1 (batch)SwitchyardWinner
Overall Score
68
40
GPT-4.1 (batch)
Rank#138#228
GPT-4.1 (batch)
Quality Rank#138#228
GPT-4.1 (batch)
Adoption Rank#138#228
GPT-4.1 (batch)
Parameters------
Context Window1048K1000K
GPT-4.1 (batch)
Pricing$1.00/$4.00/MFree--
Signal Scores
Capabilities
83
17
GPT-4.1 (batch)
Benchmarks
70
--
GPT-4.1 (batch)
Pricing
96
1000100
Switchyard
Context window size
96
95
GPT-4.1 (batch)
Recency
29
100
Switchyard
Output Capacity
72
20
GPT-4.1 (batch)
Benchmark Head-to-Head(12 benchmarks)
GPT-4.1 (batch): 0Switchyard: 0
GPT-4.1 (batch)
Switchyard
Normalized 0-100%
MMLU
89.2%-
MMLU-Pro
81.8%-
GPQA Diamond
56%-
MATH-500
78.5%-
HumanEval
91.5%-
SWE-bench Verified
54.6%-
IFEval
88.2%-
BBH
84%-
Arena Elo
1300-
LiveBench
64.5%-
HLE
5.4%-
BigCodeBench
31.8%-
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.

GPT-4.1 (batch)Competitive

Scores 68/100 (rank #138), placing it in the top 53% of all 290 models tracked.

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

Scores 40/100 (rank #228), placing it in the top 22% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-4.1 (batch) has a 28-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-4.1 (batch) when you need:

  • Multimodal workflows that require image understanding
  • Agentic applications using tool/function calling

Choose Switchyard when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
GPT-4.1 (batch)
Input cost$1.00/M tokens
Output cost$4.00/M tokens
Cost per quality point$0.074
Est. monthly (1M tokens/day)$75.00
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
GPT-4.1 (batch)Faster
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

GPT-4.1 (batch)

Customer support chatbot

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

GPT-4.1 (batch)

Long document analysis

Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-4.1 (batch)

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 (68/100) correlates with better nuance, coherence, and style in long-form content

GPT-4.1 (batch)

Image understanding & OCR

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

GPT-4.1 (batch)
Which Should You Choose?
Our recommendation:
GPT-4.1 (batch)

GPT-4.1 (batch) clearly outperforms Switchyard with a significant 27.700000000000003-point lead. For most general use cases, GPT-4.1 (batch) is the stronger choice. However, Switchyard may still excel in niche scenarios.

GPT-4.1 (batch)
Recommended

by OpenAI

  • 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
CapabilityGPT-4.1 (batch)Switchyard
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Modediffers
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4.1 (batch)

OpenAI

$6.60
estimated monthly cost

Switchyard

NVIDIA

Best Value
$0.000000
estimated monthly cost

Switchyard saves you $6.60/month

That's 100% cheaper than GPT-4.1 (batch) 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-4.1 (batch)Switchyard
Context Window1.0M1M
Max Output Tokens32,768--
Open SourceNoNo
CreatedApr 14, 2025Sep 21, 2026
Last updated: 1m ago

Related comparisons

GPT-4.1 (batch) vs Switchyard (2026) | LM Market Cap