Qwen3 Coder Next vs GLM 5.3

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingQwen3-Coder-NextGLM-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

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Qwen · activeQwen3 Coder NextVerified Aug 28, 2026
Z.ai · activeGLM 5.3Verified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldQwen3-Coder-NextGLM-5.3
DeveloperQwenZ.ai
FamilyQwen3 Coder NextGlm 5 3
ModelQwen3-Coder-NextGLM-5.3
VersionQwen3-Coder-NextGLM-5.3
Lifecycleactiveactive
Released2026-02-02Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window262K1,000K
Total parameters79.7BUnknown
Active parameters3BUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessHugging Face (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 · 9 material differences · Pair passes the primary-source comparison gate

Qwen3 Coder Next Capabilities

chatgenerationtools
Input price$0.12
Output price$0.80
Serving providers2
Canonical IDQwen/Qwen3-Coder-Next

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

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Primary Evidence

Sources and Freshness

Questions

Qwen3 Coder Next vs GLM 5.3 FAQs

Is Qwen3 Coder Next or GLM 5.3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Coder Next and GLM 5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3 Coder Next or GLM 5.3?+

Qwen3 Coder Next is $0.12 and GLM 5.3 is $1.20 per million tokens, so Qwen3 Coder Next is cheaper on this metric. Qwen3 Coder Next is $0.80 and GLM 5.3 is $4.00 per million tokens, so Qwen3 Coder Next is cheaper on this metric.

Which has a larger context window, Qwen3 Coder Next or GLM 5.3?+

GLM 5.3 has the larger sourced context window. Qwen3 Coder Next supports 262K and GLM 5.3 supports 1,000K.

Which performs better in benchmarks, Qwen3 Coder Next 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 Qwen3 Coder Next or GLM 5.3 be self-hosted?+

Qwen3 Coder Next is the only model in this pair currently marked as self-hostable. Qwen3 Coder Next is open weight; GLM 5.3 is not marked open weight.

Can Qwen3 Coder Next and GLM 5.3 understand images?+

Qwen3 Coder Next is not 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, Qwen3 Coder Next or GLM 5.3?+

Neither has a larger sourced maximum output. Qwen3 Coder Next is — and GLM 5.3 is 131K.

Do Qwen3 Coder Next and GLM 5.3 support reasoning and tool use?+

Qwen3 Coder Next: tool calling. GLM 5.3: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3 Coder Next or GLM 5.3?+

Qwen3 Coder Next has 2 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.

Which offers better value, Qwen3 Coder Next 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.

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