GPT-4o-mini Search Preview vs Llama 4 Maverick 17B Instruct FP8
GPT-4o-mini Search Preview (2025) and Llama 4 Maverick 17B Instruct FP8 (2025) are compact production models from OpenAI and AI at Meta. GPT-4o-mini Search Preview ships a 128k-token context window, while Llama 4 Maverick 17B Instruct FP8 ships a 1m-token context window. On pricing, both list $0.15/1M input and $0.60/1M output tokens on the cheapest tracked route. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 4 Maverick 17B Instruct FP8 fits 8x more tokens; pick it for long-context work and GPT-4o-mini Search Preview for tighter calls.
Decision scorecard
Local evidence first| Signal | GPT-4o-mini Search Preview | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Best for | provider-routed production | multimodal apps, long-context analysis, and provider-routed production |
| Decision fit | RAG, Long context, and Classification | Coding, RAG, and Agents |
| Context window | 128k | 1m |
| Cheapest output | $0.60/1M tokens | $0.60/1M tokens |
| Provider routes | 2 tracked | 10 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Local decision data tags GPT-4o-mini Search Preview for RAG, Long context, and Classification.
- Llama 4 Maverick 17B Instruct FP8 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 4 Maverick 17B Instruct FP8 has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 4 Maverick 17B Instruct FP8 uniquely exposes Vision and Multimodal in local model data.
- 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.
GPT-4o-mini Search Preview
$270
Cheapest tracked route/tier: OpenRouter
Llama 4 Maverick 17B Instruct FP8
$270
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $0.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Llama 4 Maverick 17B Instruct FP8 adds Vision and Multimodal in local capability data.
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-02-26 | 2025-04-05 |
| Context window | 128k | 1m |
| Parameters | — | 400B (17B active) |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | Llama 4 Community |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2023-10 | 2024-08 |
Pricing and availability
| Pricing attribute | GPT-4o-mini Search Preview | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Input price | $0.15/1M tokens | $0.15/1M tokens |
| Output price | $0.60/1M tokens | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4o-mini Search Preview | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: Llama 4 Maverick 17B Instruct FP8 and multimodal input: Llama 4 Maverick 17B Instruct FP8. Both models share structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, GPT-4o-mini Search Preview lists $0.15/1M input and $0.60/1M output tokens on the cheapest tracked provider, while Llama 4 Maverick 17B Instruct FP8 lists $0.15/1M input and $0.60/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend is tied on the cheapest tracked routes. Availability is 2 providers versus 10, so concentration risk also matters.
Choose GPT-4o-mini Search Preview when provider fit are central to the workload. Choose Llama 4 Maverick 17B Instruct FP8 when long-context analysis, larger context windows, and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, GPT-4o-mini Search Preview or Llama 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 supports 1m tokens, while GPT-4o-mini Search Preview supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, GPT-4o-mini Search Preview or Llama 4 Maverick 17B Instruct FP8?
Neither is cheaper on tracked token pricing. Both list $0.15/1M input and $0.60/1M output tokens on the cheapest tracked route. Provider discounts, batch pricing, or route-specific tiers can still change the final bill.
Is GPT-4o-mini Search Preview or Llama 4 Maverick 17B Instruct FP8 open source?
GPT-4o-mini Search Preview is listed under Proprietary. Llama 4 Maverick 17B Instruct FP8 is listed under Llama 4 Community. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, GPT-4o-mini Search Preview or Llama 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, GPT-4o-mini Search Preview or Llama 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run GPT-4o-mini Search Preview and Llama 4 Maverick 17B Instruct FP8?
GPT-4o-mini Search Preview is available on OpenRouter and Vercel AI Gateway. Llama 4 Maverick 17B Instruct FP8 is available on Microsoft Foundry, Together AI, OpenRouter, Fireworks AI, and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.