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Start with Step 3.7 Flash and GLM 5 Turbo, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.

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Current public data

Step 3.7 Flash vs GLM 5 Turbo

Live dataset updated 9/22/2026, 10:37:09 PM UTC

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Factual comparison of Step 3.7 Flash and GLM 5 Turbo
Field	Step 3.7 Flash StepFun	GLM 5 Turbo Z.ai
ModelCap position	#96	#93
Index score	54.2	54.4
Evidence	Estimated3 reported rows against measured corpus ladders (20%); global-corpus-prior over 209 held-out anchors (17%); measured predecessor stepfun/step-3.5-flash less the succession penalty (63%); shrunk 0.6 up toward the measured corpus	Measuredpublisher-corpus-prior over 209 held-out anchors (63%); 1 specialist-board observation at 1.2% support (37%); shrunk 24.5 up toward the measured corpus
Input / 1M	$0.20	$1.20
Output / 1M	$1.15	$4.00
Pricing status	fresh	fresh
Context	262K	203K
Providers	3	1
Weight access	Open weights	API only

Decision facts

Step 3.7 Flash is #96; GLM 5 Turbo is #93 on the same current language board.
Index scores are 54.2 for Step 3.7 Flash and 54.4 for GLM 5 Turbo. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Evidence differs: Step 3.7 Flash is Estimated; GLM 5 Turbo is Measured.
Listed output price per 1M tokens is $1.15 for Step 3.7 Flash and $4.00 for GLM 5 Turbo. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.97 for Step 3.7 Flash versus $4.40 for GLM 5 Turbo. Step 3.7 Flash costs 77.8% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
Published context is 262,144 tokens for Step 3.7 Flash and 202,752 for GLM 5 Turbo.
Weight access differs: Step 3.7 Flash is open; GLM 5 Turbo is none.
ModelCap currently lists 3 providers for Step 3.7 Flash and 1 for GLM 5 Turbo.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.

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