GPT-5.4 Pro vs Llama 3.1 70B Instruct
GPT-5.4 Pro (2026) and Llama 3.1 70B Instruct (2024) are frontier reasoning models from OpenAI and AI at Meta. GPT-5.4 Pro ships a 1.05m-token context window, while Llama 3.1 70B Instruct ships a 128k-token context window. On pricing, GPT-5.4 Pro ranges from $30 to $60/1M input tokens by tier; Llama 3.1 70B Instruct costs $0.40/1M 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 Pro fits 8x more tokens; pick it for long-context work and Llama 3.1 70B Instruct for tighter calls.
Decision scorecard
Local evidence first| Signal | GPT-5.4 Pro | Llama 3.1 70B Instruct |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Long context |
| Context window | 1.05m | 128k |
| Cheapest output | $180/1M tokens | $0.40/1M tokens |
| Provider routes | 3 tracked | 13 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-5.4 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.4 Pro uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags GPT-5.4 Pro for Coding, RAG, and Agents.
- Llama 3.1 70B Instruct has the lower cheapest tracked output price at $0.40/1M tokens.
- Llama 3.1 70B Instruct has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Llama 3.1 70B Instruct for Coding, RAG, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-5.4 Pro
$69,000
Cheapest tracked route/tier: OpenRouter
Llama 3.1 70B Instruct
$420
Cheapest tracked route/tier: Hyperbolic AI Inference
Estimated monthly gap: $68,580. 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 3.1 70B Instruct is $180/1M 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 OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- GPT-5.4 Pro is $180/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5.4 Pro adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-01 | 2024-07-23 |
| Context window | 1.05m | 128k |
| Parameters | — | 70B |
| 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 Pro | Llama 3.1 70B Instruct |
|---|---|---|
| Input price |
| $0.40/1M tokens |
| Output price |
| $0.40/1M tokens |
| Providers |
Capabilities
| Capability | GPT-5.4 Pro | Llama 3.1 70B 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.