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Claude Opus 4.8 (batch) vs Gemma 4 31B

vs
Gemma 4 31B

Google

81#83
Signal-by-Signal Comparison
SignalClaude Opus 4.8 (batch)DeltaGemma 4 31B
Capabilities
100
+17
83
Benchmarks
93
+7
86
Pricing
88
-12
100
Context window size
95
+9
86
Recency
100
--
100
Output Capacity
85
-5
90
Overall Result
3 wins
of 6
2 wins
Claude Opus 4.8 (batch) wins 3 of 6 signals

Score History

Score History (19 data points)
Claude Opus 4.8 (batch)Gemma 4 31B
Claude Opus 4.8 (batch)

94.6

current score

Leader

Claude Opus 4.8 (batch)

right now

Gemma 4 31B

80.5

current score

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

Claude Opus 4.8 (batch)

Anthropic

Per request$0.008750
Daily$29.17
Monthly$875.00
Annual$10500.00

Gemma 4 31B

Google

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

Gemma 4 31B saves you $848.00/month

That's $10176.00/year compared to Claude Opus 4.8 (batch) at your current usage level of 100K calls/month.

97% cheaper
Choose Gemma 4 31B for cost optimization

Claude Opus 4.8 (batch) pricing:
Input:$2.50/M tokens
Output:$12.50/M tokens
Gemma 4 31B pricing:
Input:$0.10/M tokens
Output:$0.34/M tokens
Winner
Claude Opus 4.8 (batch)

Anthropic

95

Composite Score

Gemma 4 31B

Google

81

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 4.8 (batch)Gemma 4 31BWinner
Overall Score
95
81
Claude Opus 4.8 (batch)
Rank#10#83
Claude Opus 4.8 (batch)
Quality Rank#10#83
Claude Opus 4.8 (batch)
Adoption Rank#10#83
Claude Opus 4.8 (batch)
Parameters--31B--
Context Window1000K262K
Claude Opus 4.8 (batch)
Pricing$2.50/$12.50/M$0.10/$0.34/M--
Signal Scores
Capabilities
100
83
Claude Opus 4.8 (batch)
Benchmarks
93
86
Claude Opus 4.8 (batch)
Pricing
88
100
Gemma 4 31B
Context window size
95
86
Claude Opus 4.8 (batch)
Recency
100
100
Claude Opus 4.8 (batch)
Output Capacity
85
90
Gemma 4 31B
Benchmark Head-to-Head(8 benchmarks)
Claude Opus: 3Gemma 4: 0
Claude Opus
Gemma 4
Normalized 0-100%
MMLU-Pro
-85.2%
GPQA Diamond
93.6%84.3%
SWE-bench Verified
88.6%-
AIME 2024
-89.2%
BBH
-74.4%
Arena Elo
14791451
LiveBench
-80%
HLE
49.8%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.

Claude Opus 4.8 (batch)Elite Tier

Scores 95/100 (rank #10), placing it in the top 97% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Gemma 4 31BStrong Performer

Scores 81/100 (rank #83), placing it in the top 72% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Claude Opus 4.8 (batch) has a 14-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Claude Opus 4.8 (batch) when you need:

  • Processing long documents or large codebases (1000K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

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
Cost-Performance Analysis
Claude Opus 4.8 (batch)
Input cost$2.50/M tokens
Output cost$12.50/M tokens
Cost per quality point$0.159
Est. monthly (1M tokens/day)$225.00
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

Gemma 4 31B offers 97% better value per quality point. At 1M tokens/day, you'd spend $6.60/month with Gemma 4 31B vs $225.00/month with Claude Opus 4.8 (batch) - a $218.40 monthly difference.

Latency & Speed
Claude Opus 4.8 (batch)Faster
Speed score0/100
Gemma 4 31B
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

Claude Opus 4.8 (batch)

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

Claude Opus 4.8 (batch)

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Claude Opus 4.8 (batch)

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 (95/100) correlates with better nuance, coherence, and style in long-form content

Claude Opus 4.8 (batch)

Image understanding & OCR

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

Claude Opus 4.8 (batch)
Which Should You Choose?
Our recommendation:
Claude Opus 4.8 (batch)

Claude Opus 4.8 (batch) clearly outperforms Gemma 4 31B with a significant 14.099999999999994-point lead. For most general use cases, Claude Opus 4.8 (batch) is the stronger choice. However, Gemma 4 31B may still excel in niche scenarios.

by Anthropic

  • 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 Google

  • Choose for Cost - 97% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Opus 4.8 (batch)Gemma 4 31B
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Claude Opus 4.8 (batch)

Anthropic

$19.50
estimated monthly cost

Gemma 4 31B

Google

Best Value
$0.5880
estimated monthly cost

Gemma 4 31B saves you $18.91/month

That's 97% cheaper than Claude Opus 4.8 (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
ParameterClaude Opus 4.8 (batch)Gemma 4 31B
Context Window1M262K
Max Output Tokens128,000262,144
Open SourceNoYes
CreatedMay 27, 2026Apr 2, 2026
Last updated: 36m ago

相关对比

Claude Opus 4.8 (batch) vs Gemma 4 31B (2026) | LM Market Cap