Mistral Small 4 119B 2603 vs GLM 5.1

At a Glance

Compare
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.15Openrouter · Aug 29, 2026$1.05Deepinfra · Sep 21, 2026
Output priceFrom · USD / 1M tokens$0.60Openrouter · Aug 29, 2026$3.50Deepinfra · Sep 21, 2026
Context windowMaximum documented tokens1,049K203K
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 →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldMistral-Small-4-119B-2603GLM-5.1
DeveloperMistral AIZ.ai
FamilyMistral Small 4 119b 2603Glm 5 1
ModelMistral-Small-4-119B-2603GLM-5.1
VersionMistral-Small-4-119B-2603GLM-5.1
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window1,049K203K
Total parameters119.4B753.9B
Active parameters6.5BUnknown
Licenseapache-2.0mit
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessOpenrouter (Standard)Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

Mistral Small 4 119B 2603 Capabilities

chatgenerationreasoningtools
Serving providers1
Canonical IDmistralai/Mistral-Small-4-119B-2603

GLM 5.1 Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDzai-org/GLM-5.1

Primary Evidence

Sources and Freshness

Questions

Mistral Small 4 119B 2603 vs GLM 5.1 FAQs

Is Mistral Small 4 119B 2603 or GLM 5.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Mistral Small 4 119B 2603 and GLM 5.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Mistral Small 4 119B 2603 or GLM 5.1?+

Mistral Small 4 119B 2603 is $0.15 and GLM 5.1 is $1.05 per million tokens, so Mistral Small 4 119B 2603 is cheaper on this metric. Mistral Small 4 119B 2603 is $0.60 and GLM 5.1 is $3.50 per million tokens, so Mistral Small 4 119B 2603 is cheaper on this metric.

Which has a larger context window, Mistral Small 4 119B 2603 or GLM 5.1?+

Mistral Small 4 119B 2603 has the larger sourced context window. Mistral Small 4 119B 2603 supports 1,049K and GLM 5.1 supports 203K.

Which performs better in benchmarks, Mistral Small 4 119B 2603 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 Mistral Small 4 119B 2603 or GLM 5.1 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Mistral Small 4 119B 2603 is open weight; GLM 5.1 is open weight.

Can Mistral Small 4 119B 2603 and GLM 5.1 understand images?+

Mistral Small 4 119B 2603 is 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, Mistral Small 4 119B 2603 or GLM 5.1?+

Neither has a larger sourced maximum output. Mistral Small 4 119B 2603 is — and GLM 5.1 is —.

Do Mistral Small 4 119B 2603 and GLM 5.1 support reasoning and tool use?+

Mistral Small 4 119B 2603: reasoning, tool calling, and image input. GLM 5.1: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Mistral Small 4 119B 2603 or GLM 5.1?+

Mistral Small 4 119B 2603 has 1 sourced provider route; GLM 5.1 has 4, so GLM 5.1 has broader tracked availability.

Which offers better value, Mistral Small 4 119B 2603 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.

Send Feedback