GPT-5 vs Llama 4 Maverick 17B Instruct FP8
GPT-5 (2025) and Llama 4 Maverick 17B Instruct FP8 (2025) are frontier reasoning models from OpenAI and AI at Meta. GPT-5 ships a 400k-token context window, while Llama 4 Maverick 17B Instruct FP8 ships a 1m-token context window. On Google-Proof Q&A, GPT-5 leads by 21.3 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 ~733% cheaper at $0.15/1M; pay for GPT-5 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-5 | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | multimodal apps, long-context analysis, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 400k | 1m |
| Cheapest output | $10/1M tokens | $0.60/1M tokens |
| Provider routes | 4 tracked | 11 tracked |
| Shared benchmarks | Google-Proof Q&A leader | 3 shared |
Decision tradeoffs
- GPT-5 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 21.3 points.
- GPT-5 uniquely exposes Reasoning, JSON / Tool use, and Code execution in local model data.
- Local decision data tags GPT-5 for Coding, RAG, and Agents.
- 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-5
$3,500
Cheapest tracked route/tier: Replicate API
Llama 4 Maverick 17B Instruct FP8
$270
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $3,230. 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.
- 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 Reasoning, JSON / JSON / Tool use, and Code execution before moving production traffic.
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- GPT-5 is $9.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5 adds Reasoning, JSON / JSON / Tool use, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-08-07 | 2025-04-05 |
| Context window | 400k | 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 | 2024-09 | 2024-08 |
Pricing and availability
| Pricing attribute | GPT-5 | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Input price | $1.25/1M tokens | $0.15/1M tokens |
| Output price | $10/1M tokens | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | GPT-5 | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | 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 | GPT-5 | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Google-Proof Q&A | 88.4 | 67.1 |
| Aider Polyglot | 88.0 | 15.6 |
| MMMU Pro | 78.4 | 59.6 |
Continue comparing
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Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.