gpt-oss-20b vs GLM 5.1

At a Glance

Compare
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.030Deepinfra · Sep 21, 2026$1.05Deepinfra · Sep 21, 2026
Output priceFrom · USD / 1M tokens$0.13Openrouter · Sep 22, 2026$3.50Deepinfra · Sep 21, 2026
Context windowMaximum documented tokens131K203K
Model facts checkedAug 28, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
Benchmarkgpt-oss-20bGLM-5.1
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,287.3288% of row best · rating · gpt-oss-20b; 95% CI [1280.92242279, 1293.71473349]; votes 10393; rank 2461,462.38100% of row best · rating · glm-5.1; 95% CI [1458.52340519, 1466.22702609]; votes 48901; rank 33
Overall ResultCounted from the protocol-matched rows above0 benchmark winsNo overall winner1 benchmark winNo overall winner

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

Side-by-Side Facts

Fieldgpt-oss-20bGLM-5.1
DeveloperOpenAIZ.ai
FamilyGpt OssGlm 5 1
Modelgpt-oss-20bGLM-5.1
Versiongpt-oss-20bGLM-5.1
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window131K203K
Total parameters20.9B753.9B
Active parameters3.6BUnknown
Licenseapache-2.0mit
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Groq (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Serverless, Standard)Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

gpt-oss-20b Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDopenai/gpt-oss-20b

GLM 5.1 Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDzai-org/GLM-5.1

Primary Evidence

Sources and Freshness

Questions

gpt-oss-20b vs GLM 5.1 FAQs

Is gpt-oss-20b or GLM 5.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both gpt-oss-20b and GLM 5.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, gpt-oss-20b or GLM 5.1?+

gpt-oss-20b is $0.030 and GLM 5.1 is $1.05 per million tokens, so gpt-oss-20b is cheaper on this metric. gpt-oss-20b is $0.13 and GLM 5.1 is $3.50 per million tokens, so gpt-oss-20b is cheaper on this metric.

Which has a larger context window, gpt-oss-20b or GLM 5.1?+

GLM 5.1 has the larger sourced context window. gpt-oss-20b supports 131K and GLM 5.1 supports 203K.

Which performs better in benchmarks, gpt-oss-20b or GLM 5.1?+

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

Can gpt-oss-20b or GLM 5.1 be self-hosted?+

Both models have the same recorded self-hosting status: supported. gpt-oss-20b is open weight; GLM 5.1 is open weight.

Can gpt-oss-20b and GLM 5.1 understand images?+

gpt-oss-20b is not documented with image input; GLM 5.1 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, gpt-oss-20b or GLM 5.1?+

Neither has a larger sourced maximum output. gpt-oss-20b is — and GLM 5.1 is —.

Do gpt-oss-20b and GLM 5.1 support reasoning and tool use?+

gpt-oss-20b: reasoning and tool calling. GLM 5.1: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, gpt-oss-20b or GLM 5.1?+

gpt-oss-20b has 5 sourced provider routes; GLM 5.1 has 4, so gpt-oss-20b has broader tracked availability.

Which offers better value, gpt-oss-20b or GLM 5.1?+

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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