Skip to content

Gemma 4 31B vs Qwen3.8 Max

Gemma 4 31B

Google

81#53
vs
Qwen3.8 Max

Alibaba

80#55
Signal-by-Signal Comparison
SignalGemma 4 31BDeltaQwen3.8 Max
Capabilities
83
--
83
Benchmarks
86
+7
80
Pricing
100
+6
94
Context window size
86
-9
95
Recency
100
--
100
Output Capacity
90
+5
85
Overall Result
3 wins
of 6
1 wins
Gemma 4 31B wins 3 of 6 signals

Score History

Score History (19 data points)
Gemma 4 31BQwen3.8 Max
Gemma 4 31B

80.5

current score

Leader

Gemma 4 31B

right now

Qwen3.8 Max

80.4

current score

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

Gemma 4 31B

Google

Best Value
Per request$0.000270
Daily$0.90
Monthly$27.00
Annual$324.00

Qwen3.8 Max

Alibaba

Per request$0.005000
Daily$16.67
Monthly$500.00
Annual$6000.00

Gemma 4 31B saves you $473.00/month

That's $5676.00/year compared to Qwen3.8 Max at your current usage level of 100K calls/month.

95% cheaper
Choose Gemma 4 31B for cost optimization

Gemma 4 31B pricing:
Input:$0.10/M tokens
Output:$0.34/M tokens
Qwen3.8 Max pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
Winner
Gemma 4 31B

Google

81

Composite Score

Qwen3.8 Max

Alibaba

80

Composite Score

Signal-by-Signal Comparison
MetricGemma 4 31BQwen3.8 MaxWinner
Overall Score
81
80
Gemma 4 31B
Rank#53#55
Gemma 4 31B
Quality Rank#53#55
Gemma 4 31B
Adoption Rank#53#55
Gemma 4 31B
Parameters31B----
Context Window262K1000K
Qwen3.8 Max
Pricing$0.10/$0.34/M$2.00/$6.00/M--
Signal Scores
Capabilities
83
83
Gemma 4 31B
Benchmarks
86
80
Gemma 4 31B
Pricing
100
94
Gemma 4 31B
Context window size
86
95
Qwen3.8 Max
Recency
100
100
Gemma 4 31B
Output Capacity
90
85
Gemma 4 31B
Benchmark Head-to-Head(7 benchmarks)
Gemma 4: 0Qwen3.8 Max: 1
Gemma 4
Qwen3.8 Max
Normalized 0-100%
MMLU-Pro
85.2%-
GPQA Diamond
84.3%-
AIME 2024
89.2%-
BBH
74.4%-
Arena Elo
14511496
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 #53), placing it in the top 82% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.8 MaxStrong Performer

Scores 80/100 (rank #55), placing it in the top 81% 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 4 31B when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Qwen3.8 Max when you need:

  • Processing long documents or large codebases (1000K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemma 4 31BBest Value
Input cost$0.10/M tokens
Output cost$0.34/M tokens
Cost per quality point$0.005
Est. monthly (1M tokens/day)$6.60
Qwen3.8 Max
Input cost$2.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.100
Est. monthly (1M tokens/day)$120.00

Gemma 4 31B offers 95% better value per quality point. At 1M tokens/day, you'd spend $6.60/month with Gemma 4 31B vs $120.00/month with Qwen3.8 Max - a $113.40 monthly difference.

Latency & Speed
Gemma 4 31BFaster
Speed score0/100
Qwen3.8 Max
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. Gemma 4 31B 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

Qwen3.8 Max

Batch data extraction

Lower output pricing ($0.34/M) reduces costs when processing thousands of records daily

Gemma 4 31B

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 and Qwen3.8 Max are extremely close in overall performance (only 0.09999999999999432 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Gemma 4 31B
Recommended

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 95% 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 4 31BQwen3.8 Max
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemma 4 31B

Google

Best Value
$0.5880
estimated monthly cost

Qwen3.8 Max

Alibaba

$10.80
estimated monthly cost

Gemma 4 31B saves you $10.21/month

That's 95% cheaper than Qwen3.8 Max 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 31BQwen3.8 Max
Context Window262K1M
Max Output Tokens262,144131,072
Open SourceYesNo
CreatedApr 2, 2026Aug 3, 2026
Last updated: 59m ago

相关对比

Gemma 4 31B vs Qwen3.8 Max (2026) | LM Market Cap