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Model comparison

GLM-5-Turbo 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.
66.89/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: GLM-5-Turbo #24 (Supported); Ternary Bonsai 8B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-5-Turbo and Ternary Bonsai 8B share 0 comparable benchmark results. 0 of 8 categories are comparable. 13 results are unique to GLM-5-Turbo; 0 to Ternary Bonsai 8B.

Updated July 21, 2026
Shared results
0
GLM-5-Turbo only
13
Ternary Bonsai 8B only
0
Comparable categories
0 / 8

Benchmark data for GLM-5-Turbo 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.

GLM-5-Turbo is priced at $1.20 input / $4.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ternary Bonsai 8B. GLM-5-Turbo has the larger context window at 200K, compared with 64K for Ternary Bonsai 8B.

Operational comparison

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

MetricGLM-5-TurboTernary Bonsai 8BComparison
Input / output priceUSD per 1M tokensGLM-5-Turbo$1.2 input / $4 outputTernary Bonsai 8B$0 input / $0 outputTernary Bonsai 8B has the lower combined listed price.
Generation speedtokens per secondGLM-5-TurboNot availableTernary Bonsai 8BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGLM-5-TurboNot availableTernary Bonsai 8BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGLM-5-Turbo200KTernary Bonsai 8B64KGLM-5-Turbo lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-5-TurboTernary Bonsai 8BResult
Claw-EvalSource 55.8%Not comparable
τ²-bench resultsSource 98.5%Not comparable
Coding
BenchmarkGLM-5-TurboTernary Bonsai 8BResult
AA-SciCodeSource 43.6%Not comparable
Reasoning
BenchmarkGLM-5-TurboTernary Bonsai 8BResult
AA-LCRSource 60.7%Not comparable
CritPtSource 0.3%Not comparable
Knowledge
BenchmarkGLM-5-TurboTernary Bonsai 8BResult
Artificial Analysis Intelligence IndexSource 38.1%Not comparable
AA-GPQA DiamondSource 84.7%Not comparable
AA-HLESource 25.4%Not comparable
AA-Omniscience IndexSource -15.1%Not comparable
AA-Omniscience AccuracySource 29.0%Not comparable
AA-Omniscience Hallucination RateSource 62.2%Not comparable
Multimodal
BenchmarkGLM-5-TurboTernary Bonsai 8BResult
Design Arena WebsiteSource 1301Not comparable
Inst. Following
BenchmarkGLM-5-TurboTernary Bonsai 8BResult
AA-IFBenchSource 73.2%Not comparable
Frequently Asked Questions (3)

Can I compare GLM-5-Turbo 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 GLM-5-Turbo and Ternary Bonsai 8B today?

GLM-5-Turbo: $1.20 input / $4.00 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.

Related Comparisons

Last updated: July 21, 2026

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