Gemini 2.5 Flash vs Llama 3.1 8B
At a Glance
| Compare |  Gemini 2.5 FlashGoogle DeepMind |  Llama 3.1 8BMeta |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.30Google AI ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $2.50Google 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 Flash | Llama-3.1-8B |
|---|---|---|
| Developer | Google DeepMind | Meta |
| Family | Gemini 2 5 | Llama 3 1 8b |
| Model | Gemini 2.5 Flash | Llama-3.1-8B |
| Version | Gemini 2.5 Flash | Llama-3.1-8B |
| Lifecycle | active | active |
| Released | Unknown | 2024-07-23 |
| Knowledge cutoff | 2025-01-01 | Unknown |
| Input modalities | Text, Image, Video, Audio | 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) |
| Capabilities | chat, generation, reasoning, tools | generation |
Gemini 2.5 Flash Capabilities
Llama 3.1 8B Capabilities
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Gemini 2.5 FlashGoogle DeepMind | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Gemini 2.5 FlashGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
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Gemini 2.5 FlashGoogle DeepMind | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Gemini 2.5 Flash vs Llama 3.1 8B FAQs
Is Gemini 2.5 Flash or Llama 3.1 8B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 2.5 Flash and Llama 3.1 8B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 2.5 Flash or Llama 3.1 8B?+
Only Gemini 2.5 Flash has a directly sourced input price: $0.30 per million tokens. Only Gemini 2.5 Flash has a directly sourced output price: $2.50 per million tokens.
Which has a larger context window, Gemini 2.5 Flash or Llama 3.1 8B?+
Gemini 2.5 Flash has the larger sourced context window. Gemini 2.5 Flash supports 1,049K and Llama 3.1 8B supports 131K.
Which performs better in benchmarks, Gemini 2.5 Flash or Llama 3.1 8B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 2.5 Flash or Llama 3.1 8B be self-hosted?+
Llama 3.1 8B is the only model in this pair currently marked as self-hostable. Gemini 2.5 Flash is not marked open weight; Llama 3.1 8B is open weight.
Can Gemini 2.5 Flash and Llama 3.1 8B understand images?+
Gemini 2.5 Flash is documented with image input; Llama 3.1 8B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 2.5 Flash or Llama 3.1 8B?+
Neither has a larger sourced maximum output. Gemini 2.5 Flash is 66K and Llama 3.1 8B is —.
Do Gemini 2.5 Flash and Llama 3.1 8B support reasoning and tool use?+
Gemini 2.5 Flash: reasoning, tool calling, and image input. Llama 3.1 8B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 2.5 Flash or Llama 3.1 8B?+
Gemini 2.5 Flash has 2 sourced provider routes; Llama 3.1 8B has 1, so Gemini 2.5 Flash has broader tracked availability.
Which offers better value, Gemini 2.5 Flash or Llama 3.1 8B?+
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.