GPT-4.1 Nano vs GLM 5.3

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingGPT-4.1 NanoGLM-5.3
CostLower is better · Published-token output estimateUnrankedNot in the 36-model eligible cohort#28 of 36$0.248 per LiveBench case

Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.

Benchmark Performance

Available Benchmarks

BenchmarkGPT-4.1 NanoGLM-5.3
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,284.6487% of row best · rating · gpt-4.1-nano-2025-04-14; 95% CI [1276.99177350, 1292.27849322]; votes 6103; rank 2461,474.49100% of row best · rating · glm-5.3-max; 95% CI [1467.12172899, 1481.86064533]; votes 7401; rank 18
Overall ResultCounted from the protocol-matched rows above0 benchmark wins1 benchmark winOverall lead

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
OpenAI · activeGPT-4.1 NanoVerified Aug 29, 2026
Z.ai · activeGLM 5.3Verified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGPT-4.1 NanoGLM-5.3
DeveloperOpenAIZ.ai
FamilyGpt 4 1Glm 5 3
ModelGPT-4.1 NanoGLM-5.3
VersionGPT-4.1 NanoGLM-5.3
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoff2024-06-01Unknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window1,048K1,000K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessOpenai (Standard), Openrouter (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard)
Capabilitieschat, generation, toolsagents, chat, reasoning, structured_outputs, tools

13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate

GPT-4.1 Nano Capabilities

chatgenerationtools
Input price$0.050
Output price$0.20
Serving providers2
Canonical IDopenai/gpt-4.1-nano

GLM 5.3 Capabilities

agentschatreasoningstructured outputstools
Input price$1.20
Output price$4.00
Serving providers4
Canonical IDzai-org/glm-5.3

Internal Comparison Graph

Related Comparisons

All text comparisons →
APairBContext
vsfamily variantsimage, text
vscross-developer peersimage, text
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peerstext
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peersimage, text

Primary Evidence

Sources and Freshness

Questions

GPT-4.1 Nano vs GLM 5.3 FAQs

Is GPT-4.1 Nano or GLM 5.3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-4.1 Nano and GLM 5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, GPT-4.1 Nano or GLM 5.3?+

GPT-4.1 Nano is $0.050 and GLM 5.3 is $1.20 per million tokens, so GPT-4.1 Nano is cheaper on this metric. GPT-4.1 Nano is $0.20 and GLM 5.3 is $4.00 per million tokens, so GPT-4.1 Nano is cheaper on this metric.

Which has a larger context window, GPT-4.1 Nano or GLM 5.3?+

GPT-4.1 Nano has the larger sourced context window. GPT-4.1 Nano supports 1,048K and GLM 5.3 supports 1,000K.

Which performs better in benchmarks, GPT-4.1 Nano or GLM 5.3?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can GPT-4.1 Nano or GLM 5.3 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. GPT-4.1 Nano is not marked open weight; GLM 5.3 is not marked open weight.

Can GPT-4.1 Nano and GLM 5.3 understand images?+

GPT-4.1 Nano is documented with image input; GLM 5.3 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, GPT-4.1 Nano or GLM 5.3?+

GLM 5.3 has the larger sourced maximum output: GPT-4.1 Nano supports 33K and GLM 5.3 supports 131K output tokens.

Do GPT-4.1 Nano and GLM 5.3 support reasoning and tool use?+

GPT-4.1 Nano: tool calling and image input. GLM 5.3: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, GPT-4.1 Nano or GLM 5.3?+

GPT-4.1 Nano has 2 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.

Which offers better value, GPT-4.1 Nano or GLM 5.3?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

Send Feedback