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Model comparison

Gemini 3.1 Pro vs Ternary Bonsai 8B

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
55.04/100
No comparison
N/A
0 category wins0 category wins

BenchAlign evidence: Gemini 3.1 Pro estimated; Ternary Bonsai 8B not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 3.1 Pro and Ternary Bonsai 8B share 0 comparable benchmark results. 0 of 8 categories are comparable. 48 results are unique to Gemini 3.1 Pro; 0 to Ternary Bonsai 8B.

Updated July 15, 2026
Shared results
0
Gemini 3.1 Pro only
48
Ternary Bonsai 8B only
0
Comparable categories
0 / 8

Benchmark data for Gemini 3.1 Pro and Ternary Bonsai 8B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 does not have sourced benchmark coverage for Ternary Bonsai 8B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Gemini 3.1 Pro is priced at $2.00 input / $12.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ternary Bonsai 8B. Gemini 3.1 Pro has the larger context window at 1M, compared with 64K for Ternary Bonsai 8B.

Operational comparison

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

MetricGemini 3.1 ProTernary Bonsai 8BComparison
Input / output priceUSD per 1M tokensGemini 3.1 Pro$2 input / $12 outputTernary Bonsai 8B$0 input / $0 outputTernary Bonsai 8B has the lower combined listed price.
Generation speedtokens per secondGemini 3.1 Pro109 tok/sTernary Bonsai 8BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 3.1 Pro29.71 sTernary Bonsai 8BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 3.1 Pro1MTernary Bonsai 8B64KGemini 3.1 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 3.1 ProTernary Bonsai 8BResult
Claw-EvalSource 57.8%—Not comparable
DeepSearchQASource 69.7%—Not comparable
τ²-bench resultsSource 95.6%—Not comparable
AA Agentic IndexSource 21.4%—Not comparable
APEX-Agents-AASource 32.0%—Not comparable
GDPval-AASource 23.1%—Not comparable
GDPval-AASource 962—Not comparable
Gert LabsSource 49.91%—Not comparable
ResearchClawBenchSource 13.3%—Not comparable
AA AutomationBenchSource 37.5%—Not comparable
AA EnterpriseOps-GymSource 42.2%—Not comparable
AA Harvey LABSource 0.0%—Not comparable
AA ITBenchSource 30.3%—Not comparable
AA Tau3 BankingSource 16.5%—Not comparable
Coding
BenchmarkGemini 3.1 ProTernary Bonsai 8BResult
LiveCodeBench ProSource 82.9%—Not comparable
React Native EvalsSource 78.9%—Not comparable
Vibe Code BenchSource 32.03%—Not comparable
AA Coding IndexSource 68.8%—Not comparable
Terminal-Bench HardSource 53.8%—Not comparable
AA-SciCodeSource 58.9%—Not comparable
AA Terminal-Bench 2.1Source 73.8%—Not comparable
Reasoning
BenchmarkGemini 3.1 ProTernary Bonsai 8BResult
ARC-AGI-2Source 77.1%—Not comparable
AA-LCRSource 72.7%—Not comparable
CritPtSource 17.7%—Not comparable
Knowledge
BenchmarkGemini 3.1 ProTernary Bonsai 8BResult
GPQA-DSource 94.3%—Not comparable
HLE w/o toolsSource 45.4%—Not comparable
HealthBench HardSource 20.6%—Not comparable
MedXpertQA (Text)Source 71.5%—Not comparable
Artificial Analysis Intelligence IndexSource 46.5%—Not comparable
AA-GPQA DiamondSource 94.1%—Not comparable
AA-HLESource 44.7%—Not comparable
AA-Omniscience IndexSource 32.9%—Not comparable
AA-Omniscience AccuracySource 55.3%—Not comparable
AA-Omniscience Hallucination RateSource 49.9%—Not comparable
Math
BenchmarkGemini 3.1 ProTernary Bonsai 8BResult
FrontierMath v2 (Tiers 1-3)Source 36.900%—Not comparable
FrontierMath v2 (Tier 4)Source 16.700%—Not comparable
Multilingual
BenchmarkGemini 3.1 ProTernary Bonsai 8BResult
AA Global-MMLU-LiteSource 93.2%—Not comparable
Multimodal
BenchmarkGemini 3.1 ProTernary Bonsai 8BResult
MMMU-ProSource 83.9%—Not comparable
CharXivSource 80.2%—Not comparable
ERQASource 69.4%—Not comparable
SimpleVQASource 72.4%—Not comparable
ScreenSpot ProSource 84.4%—Not comparable
ZeroBenchSource 29.0%—Not comparable
MedXpertQA (MM)Source 81.3%—Not comparable
GDPval-AASource 1320—Not comparable
AA-MMMU-ProSource 82.4%—Not comparable
Design Arena WebsiteSource 1285—Not comparable
Inst. Following
BenchmarkGemini 3.1 ProTernary Bonsai 8BResult
AA-IFBenchSource 77.1%—Not comparable
Frequently Asked Questions (3)

Can I compare Gemini 3.1 Pro and Ternary Bonsai 8B 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 Gemini 3.1 Pro and Ternary Bonsai 8B today?

Gemini 3.1 Pro: $2.00 input / $12.00 output per 1M tokens Ternary Bonsai 8B: $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.

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Last updated: July 15, 2026

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