Llama 3.1 8B Instruct vs GLM 5
At a Glance
| Compare |  GLM 5Z.ai | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.050Openrouter ↗ · Sep 23, 2026 | $0.60Deepinfra ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $0.080Openrouter ↗ · Sep 23, 2026 | $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
| Benchmark | Llama-3.1-8B-Instruct | GLM-5 |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,186.4882% of row best · rating · llama-3.1-8b-instruct; 95% CI [1182.38141125, 1190.58254982]; votes 49605; rank 313 | 1,446.27100% of row best · rating · glm-5; 95% CI [1441.95071870, 1450.59229773]; votes 27605; rank 51 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 47.9258% of row best · points · Llama 3.1 8B · 1,165 output tokens / case | 82.89100% of row best · points · GLM-5 · 15,496 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 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
| Field | Llama-3.1-8B-Instruct | GLM-5 |
|---|---|---|
| Developer | Meta | Z.ai |
| Family | Llama 3 1 8b Instruct | Glm 5 |
| Model | Llama-3.1-8B-Instruct | GLM-5 |
| Version | Llama-3.1-8B-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 | 8B | 753.9B |
| Active parameters | Unknown | Unknown |
| License | llama3.1 | mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, tools |
Llama 3.1 8B Instruct Capabilities
GLM 5 Capabilities
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| vs | GLM-5.3Z.ai | cross-developer peerstext | |
| vs |  Hy4 previewTencent | cross-developer peerstext | |
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| vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Llama 3.1 8B Instruct vs GLM 5 FAQs
Is Llama 3.1 8B Instruct or GLM 5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 8B 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 8B Instruct or GLM 5?+
Llama 3.1 8B Instruct is $0.050 and GLM 5 is $0.60 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric. Llama 3.1 8B Instruct is $0.080 and GLM 5 is $1.92 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric.
Which has a larger context window, Llama 3.1 8B Instruct or GLM 5?+
GLM 5 has the larger sourced context window. Llama 3.1 8B Instruct supports 131K and GLM 5 supports 203K.
Which performs better in benchmarks, Llama 3.1 8B 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 8B Instruct or GLM 5 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Llama 3.1 8B Instruct is open weight; GLM 5 is open weight.
Can Llama 3.1 8B Instruct and GLM 5 understand images?+
Llama 3.1 8B 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 8B Instruct or GLM 5?+
Neither has a larger sourced maximum output. Llama 3.1 8B Instruct is — and GLM 5 is —.
Do Llama 3.1 8B Instruct and GLM 5 support reasoning and tool use?+
Llama 3.1 8B 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 8B Instruct or GLM 5?+
Llama 3.1 8B Instruct has 2 sourced provider routes; GLM 5 has 4, so GLM 5 has broader tracked availability.
Which offers better value, Llama 3.1 8B 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.