Gemini 3.1 Pro Preview vs Llama 4 Maverick 17B Instruct FP8
Gemini 3.1 Pro Preview (2026) and Llama 4 Maverick 17B Instruct FP8 (2025) are general-purpose language models from Google DeepMind and AI at Meta. Both ship a 1m-token context window. On MMLU PRO, Gemini 3.1 Pro Preview leads by 10.5 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Gemini 3.1 Pro Preview is safer overall; choose Llama 4 Maverick 17B Instruct FP8 when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | Gemini 3.1 Pro Preview | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and long-context analysis | multimodal apps, long-context analysis, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 1m |
| Cheapest output | $12/1M tokens | $0.60/1M tokens |
| Provider routes | 5 tracked | 11 tracked |
| Shared benchmarks | MMLU PRO leader | 7 shared |
Decision tradeoffs
- Gemini 3.1 Pro Preview holds a shared-benchmark lead on MMLU PRO, ahead by 10.5 points.
- Gemini 3.1 Pro Preview uniquely exposes JSON / Tool use and Code execution in local model data.
- Local decision data tags Gemini 3.1 Pro Preview for Coding, RAG, and Agents.
- Llama 4 Maverick 17B Instruct FP8 has the lower cheapest tracked output price at $0.60/1M tokens.
- Llama 4 Maverick 17B Instruct FP8 has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Llama 4 Maverick 17B Instruct FP8 for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini 3.1 Pro Preview
$4,600
Cheapest tracked route/tier: Google AI Studio
Llama 4 Maverick 17B Instruct FP8
$270
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $4,330. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter, GCP Vertex AI, and Vercel AI Gateway; start route-level A/B tests there.
- Llama 4 Maverick 17B Instruct FP8 is $11.40/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for JSON / Tool use and Code execution before moving production traffic.
- Provider overlap exists on GCP Vertex AI, OpenRouter, and Vercel AI Gateway; start route-level A/B tests there.
- Gemini 3.1 Pro Preview is $11.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Gemini 3.1 Pro Preview adds JSON / Tool use and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-02-19 | 2025-04-05 |
| Context window | 1m | 1m |
| Parameters | — | 400B (17B active) |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | Llama 4 Community |
| Openness | Proprietary | Open weights |
| Weights | Not released | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2025-01 | 2024-08 |
Pricing and availability
| Pricing attribute | Gemini 3.1 Pro Preview | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Input price |
| $0.15/1M tokens |
| Output price |
| $0.60/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 3.1 Pro Preview | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| JSON / Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Gemini 3.1 Pro Preview | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| MMLU PRO | 91.0 | 80.5 |
| Google-Proof Q&A | 94.3 | 67.1 |
| LiveCodeBench | 91.7 | 43.4 |
| HumanEval | 94.0 | 77.4 |
| Chatbot Arena | 1493.0 | 1365.0 |
| MMMU Pro | 88.2 | 59.6 |
| τ-bench | 76.5 | 68.5 |
Continue comparing
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- Gemini 3.1 Pro Preview vs Kimi K2.6
- Llama 3.3 70B vs Llama 4 Maverick 17B Instruct FP8
- Gemini 3.1 Pro Preview vs GPT-5.5
- Gemini 3.1 Pro Preview vs Grok 4
- Llama 4 Maverick 17B Instruct FP8 vs Llama 4 Scout 17B-16E Instruct
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Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.