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Gemma 4 31B vs Switchyard

Gemma 4 31B

Google

81#87
vs
Switchyard

NVIDIA

40#260
Signal-by-Signal Comparison
SignalGemma 4 31BDeltaSwitchyard
Capabilities
83
+67
17
Benchmarks
86
+86
0
Pricing
100
-1000000
1000100
Context window size
86
-9
95
Recency
99
-1
100
Output Capacity
67
+47
20
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (27 data points)
Gemma 4 31BSwitchyard
Gemma 4 31B

80.6

current score

Leader

Gemma 4 31B

right now

Switchyard

40

current score

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

Gemma 4 31B

Google

Per request$0.000260
Daily$0.87
Monthly$26.00
Annual$312.00

Switchyard

NVIDIA

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

Switchyard saves you $26.00/month

That's $312.00/year compared to Gemma 4 31B at your current usage level of 100K calls/month.

100% cheaper
Choose Switchyard for cost optimization

Gemma 4 31B pricing:
Input:$0.09/M tokens
Output:$0.34/M tokens
Switchyard pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
Gemma 4 31B

Google

81

Composite Score

Switchyard

NVIDIA

40

Composite Score

Signal-by-Signal Comparison
MetricGemma 4 31BSwitchyardWinner
Overall Score
81
40
Gemma 4 31B
Rank#87#260
Gemma 4 31B
Quality Rank#87#260
Gemma 4 31B
Adoption Rank#87#260
Gemma 4 31B
Parameters31B----
Context Window262K1000K
Switchyard
Pricing$0.09/$0.34/MFree--
Signal Scores
Capabilities
83
17
Gemma 4 31B
Benchmarks
86
--
Gemma 4 31B
Pricing
100
1000100
Switchyard
Context window size
86
95
Switchyard
Recency
99
100
Switchyard
Output Capacity
67
20
Gemma 4 31B
Benchmark Head-to-Head(7 benchmarks)
Gemma 4: 0Switchyard: 0
Gemma 4
Switchyard
Normalized 0-100%
MMLU-Pro
85.2%-
GPQA Diamond
84.3%-
AIME 2024
89.2%-
BBH
74.4%-
Arena Elo
1453-
LiveBench
80%-
HLE
19.5%-
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.

Gemma 4 31BStrong Performer

Scores 81/100 (rank #87), placing it in the top 70% of all 290 models tracked.

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

Scores 40/100 (rank #260), placing it in the top 11% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemma 4 31B has a 41-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Gemma 4 31B 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
Gemma 4 31B
Input cost$0.09/M tokens
Output cost$0.34/M tokens
Cost per quality point$0.005
Est. monthly (1M tokens/day)$6.45
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
Gemma 4 31BFaster
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

Gemma 4 31B

Customer support chatbot

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

Gemma 4 31B

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 (81/100) correlates with better nuance, coherence, and style in long-form content

Gemma 4 31B

Image understanding & OCR

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

Gemma 4 31B
Which Should You Choose?
Our recommendation:
Gemma 4 31B

Gemma 4 31B clearly outperforms Switchyard with a significant 40.599999999999994-point lead. For most general use cases, Gemma 4 31B is the stronger choice. However, Switchyard may still excel in niche scenarios.

Gemma 4 31B
Recommended

by Google

  • 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
CapabilityGemma 4 31BSwitchyard
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)

Gemma 4 31B

Google

$0.5700
estimated monthly cost

Switchyard

NVIDIA

Best Value
$0.000000
estimated monthly cost

Switchyard saves you $0.5700/month

That's 100% cheaper than Gemma 4 31B 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
ParameterGemma 4 31BSwitchyard
Context Window262K1M
Max Output Tokens16,384--
Open SourceYesNo
CreatedApr 2, 2026Sep 21, 2026
Last updated: 1h ago

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Gemma 4 31B vs Switchyard (2026) | LM Market Cap