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Model comparison

DBRX Instruct vs GLM-4.6

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.
Databricks
N/A
No comparison
55.12/100
0 category wins0 category wins

Public leaderboard positions: DBRX Instruct unranked (Not scored); GLM-4.6 #85 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DBRX Instruct and GLM-4.6 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DBRX Instruct; 14 to GLM-4.6.

Updated July 23, 2026
Shared results
0
DBRX Instruct only
0
GLM-4.6 only
14
Comparable categories
0 / 8

Benchmark data for DBRX Instruct and GLM-4.6 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 DBRX Instruct yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

GLM-4.6 has the larger context window at 200K, compared with 32K for DBRX Instruct.

Operational comparison

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

MetricDBRX InstructGLM-4.6Comparison
Input / output priceUSD per 1M tokensDBRX Instruct$0 input / $0 outputGLM-4.6Not availableA complete price comparison is not available.
Generation speedtokens per secondDBRX InstructNot availableGLM-4.6Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDBRX InstructNot availableGLM-4.6Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensDBRX Instruct32KGLM-4.6200KGLM-4.6 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDBRX InstructGLM-4.6Result
τ²-bench resultsSource 76.9%Not comparable
Coding
BenchmarkDBRX InstructGLM-4.6Result
Vibe Code BenchSource 3.09%Not comparable
AA-SciCodeSource 33.1%Not comparable
Reasoning
BenchmarkDBRX InstructGLM-4.6Result
AA-LCRSource 26.3%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkDBRX InstructGLM-4.6Result
Artificial Analysis Intelligence IndexSource 23.0%Not comparable
AA-GPQA DiamondSource 63.2%Not comparable
AA-HLESource 5.2%Not comparable
AA-Omniscience IndexSource -31.6%Not comparable
AA-Omniscience AccuracySource 20.8%Not comparable
AA-Omniscience Hallucination RateSource 66.1%Not comparable
Math
BenchmarkDBRX InstructGLM-4.6Result
FrontierMath v2 (Tiers 1-3)Source 3.819%Not comparable
FrontierMath v2 (Tier 4)Source 2.128%Not comparable
Inst. Following
BenchmarkDBRX InstructGLM-4.6Result
AA-IFBenchSource 36.7%Not comparable
Frequently Asked Questions (3)

Can I compare DBRX Instruct and GLM-4.6 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 DBRX Instruct and GLM-4.6 today?

DBRX Instruct: $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 23, 2026

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