GPT-5.4 vs Llama 3.1 405B Instruct
GPT-5.4 (2026) and Llama 3.1 405B Instruct (2024) are frontier reasoning models from OpenAI and AI at Meta. GPT-5.4 ships a 1.05m-token context window, while Llama 3.1 405B Instruct ships a 128k-token context window. On pricing, GPT-5.4 ranges from $2.50 to $5/1M input tokens by tier; Llama 3.1 405B Instruct costs $2.40/1M input tokens. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
GPT-5.4 fits 8x more tokens; pick it for long-context work and Llama 3.1 405B Instruct for tighter calls.
Decision scorecard
Local evidence first| Signal | GPT-5.4 | Llama 3.1 405B Instruct |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | provider-routed production |
| Decision fit | Coding, RAG, and Agents | RAG, Long context, and Classification |
| Context window | 1.05m | 128k |
| Cheapest output | $15/1M tokens | $2.40/1M tokens |
| Provider routes | 4 tracked | 11 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-5.4 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.4 uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags GPT-5.4 for Coding, RAG, and Agents.
- Llama 3.1 405B Instruct has the lower cheapest tracked output price at $2.40/1M tokens.
- Llama 3.1 405B Instruct has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Llama 3.1 405B Instruct for RAG, Long context, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-5.4
$5,750
Cheapest tracked route/tier: OpenAI API
Llama 3.1 405B Instruct
$2,520
Cheapest tracked route/tier: AWS Bedrock
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 AWS Bedrock; start route-level A/B tests there.
- Llama 3.1 405B Instruct is $12.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
- Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
- GPT-5.4 is $12.60/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5.4 adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-05 | 2024-07-23 |
| Context window | 1.05m | 128k |
| Parameters | — | 405B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Llama 3 Community |
| Openness | Proprietary | Open weights |
| Weights | Not released | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2025-08 | 2023-12 |
Pricing and availability
| Pricing attribute | GPT-5.4 | Llama 3.1 405B Instruct |
|---|---|---|
| Input price |
| $2.40/1M tokens |
| Output price |
| $2.40/1M tokens |
| Providers |
Capabilities
| Capability | GPT-5.4 | Llama 3.1 405B Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| 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
No shared benchmark scores are currently available for this pair.
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Last reviewed: 2026-07-11. Data sourced from public model cards and provider documentation.