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Model comparison

Claude Opus 4.5 Thinking vs Gemma 4 31B

Data verified

Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

57.44/100
Margin
3.6pts
winning →
61.08/100
0 category wins0 category wins

Public leaderboard positions: Claude Opus 4.5 Thinking #69 (Estimated); Gemma 4 31B #43 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.5 Thinking and Gemma 4 31B share 12 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to Claude Opus 4.5 Thinking; 17 to Gemma 4 31B.

Updated July 23, 2026
Shared results
12
Claude Opus 4.5 Thinking only
4
Gemma 4 31B only
17
Comparable categories
0 / 8

Benchmark data for Claude Opus 4.5 Thinking and Gemma 4 31B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Gemma 4 31B has the larger context window at 256K, compared with 200K for Claude Opus 4.5 Thinking.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Claude Opus 4.5 Thinking and Gemma 4 31B
CategoryClaude Opus 4.5 ThinkingΔGemma 4 31B
CodingClaude Opus 4.5 ThinkingNot measuredMarginNo overlapGemma 4 31B41.6
KnowledgeClaude Opus 4.5 ThinkingNot measuredMarginNo overlapGemma 4 31B52.9
MultimodalClaude Opus 4.5 ThinkingNot measuredMarginNo overlapGemma 4 31B76.9

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricClaude Opus 4.5 ThinkingGemma 4 31BComparison
Input / output priceUSD per 1M tokensClaude Opus 4.5 ThinkingNot availableGemma 4 31B$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondClaude Opus 4.5 ThinkingNot availableGemma 4 31BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.5 ThinkingNot availableGemma 4 31BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.5 Thinking200KGemma 4 31B256KGemma 4 31B lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.5 ThinkingGemma 4 31BResult
τ²-bench resultsSource 89.5%59.9%Claude Opus 4.5 Thinking leads
AA Agentic IndexSource 14.4%Not comparable
GDPval-AASource 15.2%Not comparable
GDPval-AASource 804Not comparable
Gert LabsSource 35.26%Not comparable
AA EnterpriseOps-GymSource 28.3%Not comparable
AA ITBenchSource 37.3%Not comparable
AA Tau3 BankingSource 15.1%Not comparable
terminalBenchHardSource 36.4%Not comparable
Coding
BenchmarkClaude Opus 4.5 ThinkingGemma 4 31BResult
Vibe Code BenchSource 20.63%Not comparable
AA-SciCodeSource 49.5%43.4%Claude Opus 4.5 Thinking leads
SWE-RebenchSource 41.6%Not comparable
React Native EvalsSource 75.2%Not comparable
AA Coding IndexSource 43.4%Not comparable
Reasoning
BenchmarkClaude Opus 4.5 ThinkingGemma 4 31BResult
AA-LCRSource 74.0%62.0%Claude Opus 4.5 Thinking leads
CritPtSource 4.6%1.4%Claude Opus 4.5 Thinking leads
Knowledge
BenchmarkClaude Opus 4.5 ThinkingGemma 4 31BResult
Artificial Analysis Intelligence IndexSource 40.8%29.4%Claude Opus 4.5 Thinking leads
AA-GPQA DiamondSource 86.6%85.7%Claude Opus 4.5 Thinking leads
AA-HLESource 28.4%22.7%Claude Opus 4.5 Thinking leads
AA-Omniscience IndexSource 13.3%-45.4%Claude Opus 4.5 Thinking leads
AA-Omniscience AccuracySource 45.7%19.9%Claude Opus 4.5 Thinking leads
AA-Omniscience Hallucination RateSource 59.8%81.6%Claude Opus 4.5 Thinking leads
AA MMLU-ProSource 89.5%Not comparable
GPQASource 84.3%Not comparable
MMLU-ProSource 85.2%Not comparable
HLESource 26.5%Not comparable
HLE w/o toolsSource 19.5%Not comparable
AA Openness IndexSource 38.9%Not comparable
Multilingual
BenchmarkClaude Opus 4.5 ThinkingGemma 4 31BResult
AA Global-MMLU-LiteSource 91.3%Not comparable
Multimodal
BenchmarkClaude Opus 4.5 ThinkingGemma 4 31BResult
AA-MMMU-ProSource 74.0%73.4%Claude Opus 4.5 Thinking leads
Design Arena WebsiteSource 1277Not comparable
MMMU-ProSource 76.9%Not comparable
Inst. Following
BenchmarkClaude Opus 4.5 ThinkingGemma 4 31BResult
AA-IFBenchSource 58.0%75.6%Gemma 4 31B leads
Frequently Asked Questions (3)

Can I compare Claude Opus 4.5 Thinking and Gemma 4 31B on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Claude Opus 4.5 Thinking and Gemma 4 31B today?

Gemma 4 31B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Claude Opus 4.5 Thinking
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Gemma 4 31B
API / mo$0
Self-host / mo$429
Break-even
Model the full break-even

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Last updated: July 23, 2026

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