ERNIE X1 Turbo vs Llama 3.1 70B Instruct
ERNIE X1 Turbo (2025) and Llama 3.1 70B Instruct (2024) are frontier reasoning models from Baidu AI and AI at Meta. ERNIE X1 Turbo ships a 32K-token context window, while Llama 3.1 70B Instruct ships a 128K-token context window. On pricing, ERNIE X1 Turbo costs $0.15/1M input tokens versus $0.4/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
ERNIE X1 Turbo is ~167% cheaper at $0.15/1M; pay for Llama 3.1 70B Instruct only for long-context analysis.
Decision scorecard
Local evidence first| Signal | ERNIE X1 Turbo | Llama 3.1 70B Instruct |
|---|---|---|
| Decision fit | Agents, Vision, and JSON / Tool use | Coding, RAG, and Long context |
| Context window | 32K | 128K |
| Cheapest output | $0.59/1M tokens | $0.4/1M tokens |
| Provider routes | 1 tracked | 11 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- ERNIE X1 Turbo uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags ERNIE X1 Turbo for Agents, Vision, and JSON / Tool use.
- Llama 3.1 70B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 3.1 70B Instruct has the lower cheapest tracked output price at $0.4/1M tokens.
- Llama 3.1 70B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 3.1 70B Instruct uniquely exposes Structured outputs in local model data.
- 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 prices on this page.
ERNIE X1 Turbo
$268
Cheapest tracked route: Baidu Qianfan
Llama 3.1 70B Instruct
$420
Cheapest tracked route: Hyperbolic AI Inference
Estimated monthly gap: $153. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for ERNIE X1 Turbo and Llama 3.1 70B Instruct; plan for SDK, billing, or endpoint changes.
- Llama 3.1 70B Instruct is $0.19/1M 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.
- Llama 3.1 70B Instruct adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Llama 3.1 70B Instruct and ERNIE X1 Turbo; plan for SDK, billing, or endpoint changes.
- ERNIE X1 Turbo is $0.19/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Structured outputs before moving production traffic.
- ERNIE X1 Turbo adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-24 | 2024-07-23 |
| Context window | 32K | 128K |
| Parameters | — | 70B |
| Architecture | - | decoder only |
| License | Proprietary | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | ERNIE X1 Turbo | Llama 3.1 70B Instruct |
|---|---|---|
| Input price | $0.15/1M tokens | $0.4/1M tokens |
| Output price | $0.59/1M tokens | $0.4/1M tokens |
| Providers |
Capabilities
| Capability | ERNIE X1 Turbo | Llama 3.1 70B Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: ERNIE X1 Turbo, multimodal input: ERNIE X1 Turbo, reasoning mode: ERNIE X1 Turbo, function calling: ERNIE X1 Turbo, tool use: ERNIE X1 Turbo, and structured outputs: Llama 3.1 70B Instruct. Both models share the core language-model surface, 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, ERNIE X1 Turbo lists $0.15/1M input and $0.59/1M output tokens, while Llama 3.1 70B Instruct lists $0.4/1M input and $0.4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts ERNIE X1 Turbo lower by about $0.12 per million blended tokens. Availability is 1 providers versus 11, so concentration risk also matters.
Choose ERNIE X1 Turbo when reasoning depth and lower input-token cost are central to the workload. Choose Llama 3.1 70B Instruct 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, ERNIE X1 Turbo or Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct supports 128K tokens, while ERNIE X1 Turbo supports 32K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, ERNIE X1 Turbo or Llama 3.1 70B Instruct?
ERNIE X1 Turbo is cheaper on tracked token pricing. ERNIE X1 Turbo costs $0.15/1M input and $0.59/1M output tokens. Llama 3.1 70B Instruct costs $0.4/1M input and $0.4/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is ERNIE X1 Turbo or Llama 3.1 70B Instruct open source?
ERNIE X1 Turbo is listed under Proprietary. Llama 3.1 70B Instruct is listed under Open Source. 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, ERNIE X1 Turbo or Llama 3.1 70B Instruct?
ERNIE X1 Turbo has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, ERNIE X1 Turbo or Llama 3.1 70B Instruct?
ERNIE X1 Turbo 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 ERNIE X1 Turbo and Llama 3.1 70B Instruct?
ERNIE X1 Turbo is available on Baidu Qianfan. Llama 3.1 70B Instruct is available on OctoAI API (Deprecated), Together AI, Fireworks AI, NVIDIA NIM, and Microsoft Foundry. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.