Gemini 3.1 Pro vs Llama 3.1 70B 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 | $0.40Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $12.00Google AI ↗ · Aug 29, 2026 | $0.40Openrouter ↗ · 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-3.1-70B-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 | 1,260.8185% of row best · rating · llama-3.1-70b-instruct; 95% CI [1257.09857551, 1264.52491700]; votes 55240; rank 276 |
| 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-3.1-70B-Instruct |
|---|---|---|
| Developer | Google DeepMind | Meta |
| Family | Gemini 3 | Llama 3 1 70b Instruct |
| Model | Gemini 3.1 Pro | Llama-3.1-70B-Instruct |
| Version | Gemini 3.1 Pro | Llama-3.1-70B-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 | 70.6B |
| 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) | Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, tools |
Gemini 3.1 Pro Capabilities
Llama 3.1 70B Instruct Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.1 Pro vs Llama 3.1 70B Instruct FAQs
Is Gemini 3.1 Pro or Llama 3.1 70B 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 70B 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 70B Instruct?+
Gemini 3.1 Pro is $2.00 and Llama 3.1 70B Instruct is $0.40 per million tokens, so Llama 3.1 70B Instruct is cheaper on this metric. Gemini 3.1 Pro is $12.00 and Llama 3.1 70B Instruct is $0.40 per million tokens, so Llama 3.1 70B Instruct is cheaper on this metric.
Which has a larger context window, Gemini 3.1 Pro or Llama 3.1 70B Instruct?+
Gemini 3.1 Pro has the larger sourced context window. Gemini 3.1 Pro supports 1,049K and Llama 3.1 70B Instruct supports 131K.
Which performs better in benchmarks, Gemini 3.1 Pro or Llama 3.1 70B 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 70B Instruct be self-hosted?+
Llama 3.1 70B 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 70B Instruct is open weight.
Can Gemini 3.1 Pro and Llama 3.1 70B Instruct understand images?+
Gemini 3.1 Pro is documented with image input; Llama 3.1 70B 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 70B Instruct?+
Neither has a larger sourced maximum output. Gemini 3.1 Pro is 66K and Llama 3.1 70B Instruct is —.
Do Gemini 3.1 Pro and Llama 3.1 70B Instruct support reasoning and tool use?+
Gemini 3.1 Pro: reasoning, tool calling, and image input. Llama 3.1 70B 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 70B Instruct?+
Gemini 3.1 Pro has 2 sourced provider routes; Llama 3.1 70B Instruct has 1, so Gemini 3.1 Pro has broader tracked availability.
Which offers better value, Gemini 3.1 Pro or Llama 3.1 70B 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.