Gemini 3.1 Pro vs Llama 3.1 8B Instruct
At a Glance
| Compare |  Gemini 3.1 ProGoogle DeepMind | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #9 of 4679.7 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #27 of 44$0.161 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #9 of 3859.2 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Google AI ↗ · Aug 29, 2026 | $0.050Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $12.00Google AI ↗ · Aug 29, 2026 | $0.080Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,049K | 131K |
| Model facts checked | Aug 29, 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 | Gemini 3.1 Pro | Llama-3.1-8B-Instruct |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,480.08100% of row best · rating · gemini-3.1-pro-preview; 95% CI [1476.92899018, 1483.22190450]; votes 106951; rank 16 | 1,186.4880% of row best · rating · llama-3.1-8b-instruct; 95% CI [1182.38141125, 1190.58254982]; votes 49605; rank 313 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 79.89100% of row best · points · Gemini 3.1 Pro (high thinking) · 10,009 output tokens / case | 47.9260% of row best · points · Llama 3.1 8B · 1,165 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winNo overall winner | 0 benchmark winsNo 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 | Gemini 3.1 Pro | Llama-3.1-8B-Instruct |
|---|---|---|
| Developer | Google DeepMind | Meta |
| Family | Gemini 3 | Llama 3 1 8b Instruct |
| Model | Gemini 3.1 Pro | Llama-3.1-8B-Instruct |
| Version | Gemini 3.1 Pro | Llama-3.1-8B-Instruct |
| Lifecycle | preview | active |
| Released | Unknown | 2024-07-23 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text |
| Output modalities | Text | Text |
| Context window | 1,049K | 131K |
| Total parameters | Unknown | 8B |
| Active parameters | Unknown | Unknown |
| License | Unknown | llama3.1 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, tools |
Gemini 3.1 Pro Capabilities
Llama 3.1 8B Instruct Capabilities
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Gemini 3.1 ProGoogle DeepMind | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Gemini 3.1 Pro vs Llama 3.1 8B Instruct FAQs
Is Gemini 3.1 Pro or Llama 3.1 8B Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Pro and Llama 3.1 8B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.1 Pro or Llama 3.1 8B Instruct?+
Gemini 3.1 Pro is $2.00 and Llama 3.1 8B Instruct is $0.050 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric. Gemini 3.1 Pro is $12.00 and Llama 3.1 8B Instruct is $0.080 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric.
Which has a larger context window, Gemini 3.1 Pro or Llama 3.1 8B Instruct?+
Gemini 3.1 Pro has the larger sourced context window. Gemini 3.1 Pro supports 1,049K and Llama 3.1 8B Instruct supports 131K.
Which performs better in benchmarks, Gemini 3.1 Pro or Llama 3.1 8B Instruct?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 3.1 Pro or Llama 3.1 8B Instruct be self-hosted?+
Llama 3.1 8B Instruct is the only model in this pair currently marked as self-hostable. Gemini 3.1 Pro is not marked open weight; Llama 3.1 8B Instruct is open weight.
Can Gemini 3.1 Pro and Llama 3.1 8B Instruct understand images?+
Gemini 3.1 Pro is documented with image input; Llama 3.1 8B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.1 Pro or Llama 3.1 8B Instruct?+
Neither has a larger sourced maximum output. Gemini 3.1 Pro is 66K and Llama 3.1 8B Instruct is —.
Do Gemini 3.1 Pro and Llama 3.1 8B Instruct support reasoning and tool use?+
Gemini 3.1 Pro: reasoning, tool calling, and image input. Llama 3.1 8B Instruct: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.1 Pro or Llama 3.1 8B Instruct?+
Gemini 3.1 Pro has 2 sourced provider routes; Llama 3.1 8B Instruct has 2, a tie.
Which offers better value, Gemini 3.1 Pro or Llama 3.1 8B Instruct?+
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.