Llama 3.1 8B Instruct vs Grok 4.20 Multi Agent
At a Glance
| Compare | ||
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #22 of 4663.4 score · 2/3 sources · provisional · missing LiveBench · full-core range 42.3–75.6 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.050Openrouter ↗ · Sep 22, 2026 | $1.25Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $0.080Openrouter ↗ · Sep 22, 2026 | $2.50Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 131K | 1,000K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 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 | Grok 4.20 Multi-Agent |
|---|---|---|
| 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 | 1,449.94100% of row best · rating · grok-4.20-multi-agent-beta-0309; 95% CI [1446.16660741, 1453.71198087]; votes 60777; rank 46 |
| 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 | Grok 4.20 Multi-Agent |
|---|---|---|
| Developer | Meta | xAI |
| Family | Llama 3 1 8b Instruct | Grok 4 20 |
| Model | Llama-3.1-8B-Instruct | Grok 4.20 Multi-Agent |
| Version | Llama-3.1-8B-Instruct | Grok 4.20 Multi-Agent |
| Lifecycle | active | preview |
| Released | 2024-07-23 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 131K | 1,000K |
| Total parameters | 8B | Unknown |
| Active parameters | Unknown | Unknown |
| License | llama3.1 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Xai (Standard) |
| Capabilities | chat, generation, tools | generation, reasoning, research, tools |
Llama 3.1 8B Instruct Capabilities
Grok 4.20 Multi Agent Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
| vs |  GPT-6 AstraOpenAI | cross-developer peerstext | |
Claude Fable 5.1Anthropic | vs | cross-developer peerstext | |
 Gemini 3.1 ProGoogle DeepMind | vs | cross-developer peerstext | |
 DeepSeek-V4.1-FlashDeepSeek | vs | cross-developer peerstext | |
| vs | Grok 4.6xAI | cross-developer peerstext | |
| vs |  Qwen3.8-MaxQwen | cross-developer peerstext | |
| vs |  Kimi-K3Moonshot AI | cross-developer peerstext | |
 MiniMax-M3MiniMax | vs | cross-developer peerstext | |
| vs |  GLM-5.3Z.ai | cross-developer peerstext | |
| vs |  Hy4 previewTencent | cross-developer peerstext | |
Seed 2.1 ProByteDance Seed | vs | cross-developer peerstext | |
| vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Llama 3.1 8B Instruct vs Grok 4.20 Multi Agent FAQs
Is Llama 3.1 8B Instruct or Grok 4.20 Multi Agent better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 8B Instruct and Grok 4.20 Multi Agent, 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 Grok 4.20 Multi Agent?+
Llama 3.1 8B Instruct is $0.050 and Grok 4.20 Multi Agent is $1.25 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric. Llama 3.1 8B Instruct is $0.080 and Grok 4.20 Multi Agent is $2.50 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 Grok 4.20 Multi Agent?+
Grok 4.20 Multi Agent has the larger sourced context window. Llama 3.1 8B Instruct supports 131K and Grok 4.20 Multi Agent supports 1,000K.
Which performs better in benchmarks, Llama 3.1 8B Instruct or Grok 4.20 Multi Agent?+
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 Grok 4.20 Multi Agent be self-hosted?+
Llama 3.1 8B Instruct is the only model in this pair currently marked as self-hostable. Llama 3.1 8B Instruct is open weight; Grok 4.20 Multi Agent is not marked open weight.
Can Llama 3.1 8B Instruct and Grok 4.20 Multi Agent understand images?+
Llama 3.1 8B Instruct is not documented with image input; Grok 4.20 Multi Agent is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 3.1 8B Instruct or Grok 4.20 Multi Agent?+
Neither has a larger sourced maximum output. Llama 3.1 8B Instruct is — and Grok 4.20 Multi Agent is —.
Do Llama 3.1 8B Instruct and Grok 4.20 Multi Agent support reasoning and tool use?+
Llama 3.1 8B Instruct: tool calling. Grok 4.20 Multi Agent: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 3.1 8B Instruct or Grok 4.20 Multi Agent?+
Llama 3.1 8B Instruct has 2 sourced provider routes; Grok 4.20 Multi Agent has 1, so Llama 3.1 8B Instruct has broader tracked availability.
Which offers better value, Llama 3.1 8B Instruct or Grok 4.20 Multi Agent?+
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.