Gemini 2.5 Pro vs Llama 3.1 70B
At a Glance
| Compare |  Gemini 2.5 ProGoogle DeepMind |  Llama 3.1 70BMeta |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.25Google AI ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $10.00Google AI ↗ · Aug 29, 2026 | Not reported |
| 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
Side-by-Side Facts
| Field | Gemini 2.5 Pro | Llama-3.1-70B |
|---|---|---|
| Developer | Google DeepMind | Meta |
| Family | Gemini 2 5 | Llama 3 1 70b |
| Model | Gemini 2.5 Pro | Llama-3.1-70B |
| Version | Gemini 2.5 Pro | Llama-3.1-70B |
| Lifecycle | active | active |
| Released | Unknown | 2024-07-23 |
| Knowledge cutoff | 2025-01-01 | 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) | Hugging Face (Standard) |
| Capabilities | chat, generation, reasoning, tools | generation |
Gemini 2.5 Pro Capabilities
Llama 3.1 70B Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 2.5 Pro vs Llama 3.1 70B FAQs
Is Gemini 2.5 Pro or Llama 3.1 70B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 2.5 Pro and Llama 3.1 70B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 2.5 Pro or Llama 3.1 70B?+
Only Gemini 2.5 Pro has a directly sourced input price: $1.25 per million tokens. Only Gemini 2.5 Pro has a directly sourced output price: $10.00 per million tokens.
Which has a larger context window, Gemini 2.5 Pro or Llama 3.1 70B?+
Gemini 2.5 Pro has the larger sourced context window. Gemini 2.5 Pro supports 1,049K and Llama 3.1 70B supports 131K.
Which performs better in benchmarks, Gemini 2.5 Pro or Llama 3.1 70B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 2.5 Pro or Llama 3.1 70B be self-hosted?+
Llama 3.1 70B is the only model in this pair currently marked as self-hostable. Gemini 2.5 Pro is not marked open weight; Llama 3.1 70B is open weight.
Can Gemini 2.5 Pro and Llama 3.1 70B understand images?+
Gemini 2.5 Pro is documented with image input; Llama 3.1 70B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 2.5 Pro or Llama 3.1 70B?+
Neither has a larger sourced maximum output. Gemini 2.5 Pro is 66K and Llama 3.1 70B is —.
Do Gemini 2.5 Pro and Llama 3.1 70B support reasoning and tool use?+
Gemini 2.5 Pro: reasoning, tool calling, and image input. Llama 3.1 70B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 2.5 Pro or Llama 3.1 70B?+
Gemini 2.5 Pro has 2 sourced provider routes; Llama 3.1 70B has 1, so Gemini 2.5 Pro has broader tracked availability.
Which offers better value, Gemini 2.5 Pro or Llama 3.1 70B?+
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.