Llama 3.1 8B Instruct vs Gemini 3.1 Pro Preview compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
Gemini 3.1 Pro Preview — full profile ›
Prices & specs refreshed from live data · OpenSourceAI.tech
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
| Spec | Llama 3.1 8B Instruct | Gemini 3.1 Pro Preview |
|---|---|---|
| Maker | Meta | |
| Type | Open-weight | Proprietary |
| Context window | 131K tokens | 1M tokens |
| Input price | $0.05/M · free self-host | $2/M |
| Output price | $0.08/M · free self-host | $12/M |
| Vision / multimodal | No | Yes |
| Tool / function calling | Yes | Yes |
| Self-hostable | Yes | No (API only) |
| License | Llama Community | Proprietary |
| Capability | Llama 3.1 8B Instruct | Gemini 3.1 Pro Preview |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✗ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✓ |
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
| Criterion | Llama 3.1 8B Instruct | Gemini 3.1 Pro Preview |
|---|---|---|
| Cost-efficiency | 5.0 | 3.5 |
| Context window | 3.5 | 5.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 3.5 | 5.0 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation.
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Llama 3.1 8B Instruct is open-weight and competitive on many tasks, but Gemini 3.1 Pro Preview may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Yes. Llama 3.1 8B Instruct has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Gemini 3.1 Pro Preview is API-only and cannot be self-hosted.
Llama 3.1 8B Instruct costs $0.08/M output vs $12/M for Gemini 3.1 Pro Preview — roughly 150x cheaper via API, and free if you self-host.
Choose Llama 3.1 8B Instruct if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Gemini 3.1 Pro Preview if you want frontier capability through a managed API with zero infrastructure to run.
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