Llama 3.1 405B Instruct vs GLM 5
At a Glance
| Compare |  GLM 5Z.ai | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.60Deepinfra ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $1.92Openrouter ↗ · Aug 28, 2026 |
| Context windowMaximum documented tokens | 131K | 203K |
| Model facts checked | Aug 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
Side-by-Side Facts
| Field | Llama-3.1-405B-Instruct | GLM-5 |
|---|---|---|
| Developer | Meta | Z.ai |
| Family | Llama 3 1 405b Instruct | Glm 5 |
| Model | Llama-3.1-405B-Instruct | GLM-5 |
| Version | Llama-3.1-405B-Instruct | GLM-5 |
| Lifecycle | active | active |
| Released | 2024-07-23 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 131K | 203K |
| Total parameters | 405.9B | 753.9B |
| Active parameters | Unknown | Unknown |
| License | llama3.1 | mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Together Ai (Standard) | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, tools |
Llama 3.1 405B Instruct Capabilities
GLM 5 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Llama 3.1 405B Instruct vs GLM 5 FAQs
Is Llama 3.1 405B Instruct or GLM 5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 405B Instruct and GLM 5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 3.1 405B Instruct or GLM 5?+
Only GLM 5 has a directly sourced input price: $0.60 per million tokens. Only GLM 5 has a directly sourced output price: $1.92 per million tokens.
Which has a larger context window, Llama 3.1 405B Instruct or GLM 5?+
GLM 5 has the larger sourced context window. Llama 3.1 405B Instruct supports 131K and GLM 5 supports 203K.
Which performs better in benchmarks, Llama 3.1 405B Instruct or GLM 5?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Llama 3.1 405B Instruct or GLM 5 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Llama 3.1 405B Instruct is open weight; GLM 5 is open weight.
Can Llama 3.1 405B Instruct and GLM 5 understand images?+
Llama 3.1 405B Instruct is not documented with image input; GLM 5 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 3.1 405B Instruct or GLM 5?+
Neither has a larger sourced maximum output. Llama 3.1 405B Instruct is — and GLM 5 is —.
Do Llama 3.1 405B Instruct and GLM 5 support reasoning and tool use?+
Llama 3.1 405B Instruct: tool calling. GLM 5: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 3.1 405B Instruct or GLM 5?+
Llama 3.1 405B Instruct has 1 sourced provider route; GLM 5 has 4, so GLM 5 has broader tracked availability.
Which offers better value, Llama 3.1 405B Instruct or GLM 5?+
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.