GPT-4o Mini (07-18) vs Llama 4 Maverick 17B Instruct FP8
GPT-4o Mini (07-18) (2024) and Llama 4 Maverick 17B Instruct FP8 (2025) are compact production models from OpenAI and AI at Meta. GPT-4o Mini (07-18) ships a 128k-token context window, while Llama 4 Maverick 17B Instruct FP8 ships a 1m-token context window. On Aider Polyglot, Llama 4 Maverick 17B Instruct FP8 leads by 12 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Pick Llama 4 Maverick 17B Instruct FP8 for coding; token pricing is tied, so keep GPT-4o Mini (07-18) only for already-validated prompts or route constraints.
Decision scorecard
Local evidence first| Signal | GPT-4o Mini (07-18) | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Best for | multimodal apps and provider-routed production | multimodal apps, long-context analysis, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 128k | 1m |
| Cheapest output | $0.60/1M tokens | $0.60/1M tokens |
| Provider routes | 3 tracked | 10 tracked |
| Shared benchmarks | 2 shared | Aider Polyglot leader |
Decision tradeoffs
- GPT-4o Mini (07-18) uniquely exposes Code execution in local model data.
- Local decision data tags GPT-4o Mini (07-18) for Coding, RAG, and Agents.
- Llama 4 Maverick 17B Instruct FP8 holds a shared-benchmark lead on Aider Polyglot, ahead by 12 points.
- 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 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 (07-18)
$270
Cheapest tracked route/tier: OpenAI API
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; 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 Code execution before moving production traffic.
- Llama 4 Maverick 17B Instruct FP8 adds Multimodal in local capability data.
- Provider overlap exists on OpenRouter; 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 Multimodal before moving production traffic.
- GPT-4o Mini (07-18) adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-18 | 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 (07-18) | 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 (07-18) | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | GPT-4o Mini (07-18) | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Aider Polyglot | 3.6 | 15.6 |
| BigCodeBench | 46.1 | 49.7 |
Deep dive
On shared benchmark coverage, Aider Polyglot has GPT-4o Mini (07-18) at 3.6 and Llama 4 Maverick 17B Instruct FP8 at 15.6, with Llama 4 Maverick 17B Instruct FP8 ahead by 12 points; BigCodeBench has GPT-4o Mini (07-18) at 46.1 and Llama 4 Maverick 17B Instruct FP8 at 49.7, with Llama 4 Maverick 17B Instruct FP8 ahead by 3.6 points. The largest visible gap is 12 points on Aider Polyglot, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on multimodal input: Llama 4 Maverick 17B Instruct FP8 and code execution: GPT-4o Mini (07-18). Both models share vision and 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 (07-18) 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 3 providers versus 10, so concentration risk also matters.
Choose GPT-4o Mini (07-18) when coding workflow support 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.
FAQ
Which has a larger context window, GPT-4o Mini (07-18) or Llama 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 supports 1m tokens, while GPT-4o Mini (07-18) 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 (07-18) 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 (07-18) or Llama 4 Maverick 17B Instruct FP8 open source?
GPT-4o Mini (07-18) 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 (07-18) or Llama 4 Maverick 17B Instruct FP8?
Both GPT-4o Mini (07-18) and Llama 4 Maverick 17B Instruct FP8 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, GPT-4o Mini (07-18) 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 (07-18) and Llama 4 Maverick 17B Instruct FP8?
GPT-4o Mini (07-18) is available on OpenAI API, OpenRouter, and Replicate API. 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.