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Gemma 2 27B vs Qwen3.5-27B

Gemma 2 27B

Google

77#72
vs
Qwen3.5-27B

Alibaba

77#73
Signal-by-Signal Comparison
SignalGemma 2 27BDeltaQwen3.5-27B
Capabilities
33
-50
83
Benchmarks
83
+6
77
Pricing
99
+1
98
Context window size
62
-24
86
Recency
0
-100
100
Output Capacity
55
-25
80
Overall Result
2 wins
of 6
4 wins
Qwen3.5-27B wins 4 of 6 signals

Score History

Score History (25 data points)
Gemma 2 27BQwen3.5-27B
Gemma 2 27B

77.4

current score

Leader

Gemma 2 27B

right now

Qwen3.5-27B

77

current score

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

Gemma 2 27B

Google

Per request$0.000975
Daily$3.25
Monthly$97.50
Annual$1170.00

Qwen3.5-27B

Alibaba

Per request$0.000975
Daily$3.25
Monthly$97.50
Annual$1170.00
Gemma 2 27B pricing:
Input:$0.65/M tokens
Output:$0.65/M tokens
Qwen3.5-27B pricing:
Input:$0.20/M tokens
Output:$1.56/M tokens
Winner
Gemma 2 27B

Google

77

Composite Score

Qwen3.5-27B

Alibaba

77

Composite Score

Signal-by-Signal Comparison
MetricGemma 2 27BQwen3.5-27BWinner
Overall Score
77
77
Gemma 2 27B
Rank#72#73
Gemma 2 27B
Quality Rank#72#73
Gemma 2 27B
Adoption Rank#72#73
Gemma 2 27B
Parameters27B27B--
Context Window8K262K
Qwen3.5-27B
Pricing$0.65/$0.65/M$0.20/$1.56/M--
Signal Scores
Capabilities
33
83
Qwen3.5-27B
Benchmarks
83
77
Gemma 2 27B
Pricing
99
98
Gemma 2 27B
Context window size
62
86
Qwen3.5-27B
Recency
0
100
Qwen3.5-27B
Output Capacity
55
80
Qwen3.5-27B
Benchmark Head-to-Head(7 benchmarks)
Gemma 2: 0Qwen3.5-27B: 0
Gemma 2
Qwen3.5-27B
Normalized 0-100%
MMLU
75.2%-
MMLU-Pro
-86.1%
HumanEval
69.5%-
GSM8K
85.3%-
ARC-Challenge
93.2%-
HellaSwag
93%-
Arena Elo
-1408
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 2 27BStrong Performer

Scores 77/100 (rank #72), placing it in the top 76% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.5-27BStrong Performer

Scores 77/100 (rank #73), placing it in the top 75% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-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 Gemma 2 27B when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model

Choose Qwen3.5-27B when you need:

  • Processing long documents or large codebases (262K token context)
  • 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
Cost-Performance Analysis
Gemma 2 27BBest Value
Input cost$0.65/M tokens
Output cost$0.65/M tokens
Cost per quality point$0.017
Est. monthly (1M tokens/day)$19.50
Qwen3.5-27B
Input cost$0.20/M tokens
Output cost$1.56/M tokens
Cost per quality point$0.023
Est. monthly (1M tokens/day)$26.33

Gemma 2 27B offers 26% better value per quality point. At 1M tokens/day, you'd spend $19.50/month with Gemma 2 27B vs $26.33/month with Qwen3.5-27B - a $6.83 monthly difference.

Latency & Speed
Gemma 2 27BFaster
Speed score0/100
Qwen3.5-27B
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 2 27B

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemma 2 27B also offers lower per-token costs for high-volume support

Gemma 2 27B

Long document analysis

Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3.5-27B

Batch data extraction

Lower output pricing ($0.65/M) reduces costs when processing thousands of records daily

Gemma 2 27B

Creative writing & content

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

Gemma 2 27B

Image understanding & OCR

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

Qwen3.5-27B
Which Should You Choose?
Our recommendation:
Gemma 2 27B

Gemma 2 27B and Qwen3.5-27B are extremely close in overall performance (only 0.4000000000000057 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Gemma 2 27B
Recommended

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 26% 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
CapabilityGemma 2 27BQwen3.5-27B
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemma 2 27B

Google

Best Value
$1.95
estimated monthly cost

Qwen3.5-27B

Alibaba

$2.22
estimated monthly cost

Gemma 2 27B saves you $0.2730/month

That's 12% cheaper than Qwen3.5-27B 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 2 27BQwen3.5-27B
Context Window8K262K
Max Output Tokens2,04865,536
Open SourceYesYes
CreatedJul 13, 2024Feb 25, 2026
Last updated: 55m ago

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