GPT-4o (08-06) vs Llama 4 Maverick 17B Instruct FP8
GPT-4o (08-06) (2024) and Llama 4 Maverick 17B Instruct FP8 (2025) are compact production models from OpenAI and AI at Meta. GPT-4o (08-06) ships a 128k-token context window, while Llama 4 Maverick 17B Instruct FP8 ships a 1m-token context window. On MMLU PRO, Llama 4 Maverick 17B Instruct FP8 leads by 5.8 pts. 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 is ~1567% cheaper at $0.15/1M; pay for GPT-4o (08-06) only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-4o (08-06) | 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 | $10/1M tokens | $0.60/1M tokens |
| Provider routes | 3 tracked | 11 tracked |
| Shared benchmarks | 2 shared | MMLU PRO leader |
Decision tradeoffs
- GPT-4o (08-06) holds a shared-benchmark lead on Aider Polyglot, ahead by 7.5 points.
- GPT-4o (08-06) uniquely exposes Code execution in local model data.
- Local decision data tags GPT-4o (08-06) for Coding, RAG, and Agents.
- Llama 4 Maverick 17B Instruct FP8 holds a shared-benchmark lead on MMLU PRO, ahead by 5.8 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 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.
GPT-4o (08-06)
$4,500
Cheapest tracked route/tier: OpenAI API
Llama 4 Maverick 17B Instruct FP8
$270
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $4,230. 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.
- Llama 4 Maverick 17B Instruct FP8 is $9.40/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-4o (08-06) is $9.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-4o (08-06) adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-08-06 | 2025-04-05 |
| Context window | 128k | 1m |
| Parameters | 1.76T (8x222B MoE)* | 400B (17B active) |
| Architecture | Mixture of Experts | 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 | 2023-10 | 2024-08 |
Pricing and availability
| Pricing attribute | GPT-4o (08-06) | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Input price | $2.50/1M tokens | $0.15/1M tokens |
| Output price | $10/1M tokens | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4o (08-06) | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| JSON / 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 (08-06) | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| MMLU PRO | 74.7 | 80.5 |
| Aider Polyglot | 23.1 | 15.6 |
Continue comparing
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Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.