ERNIE X1 Turbo vs Together AI Qwen2-72B-Instruct
ERNIE X1 Turbo (2025) and Together AI Qwen2-72B-Instruct (2024) are frontier reasoning models from Baidu AI and Alibaba. ERNIE X1 Turbo ships a 32K-token context window, while Together AI Qwen2-72B-Instruct ships a 33K-token context window. On pricing, ERNIE X1 Turbo costs $0.15/1M input tokens versus $0.7/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
ERNIE X1 Turbo is ~367% cheaper at $0.15/1M; pay for Together AI Qwen2-72B-Instruct only for long-context analysis.
Decision scorecard
Local evidence first| Signal | ERNIE X1 Turbo | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Decision fit | Agents, Vision, and JSON / Tool use | Classification and JSON / Tool use |
| Context window | 32K | 33K |
| Cheapest output | $0.59/1M tokens | $0.7/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- ERNIE X1 Turbo has the lower cheapest tracked output price at $0.59/1M tokens.
- 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.
- Together AI Qwen2-72B-Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Together AI Qwen2-72B-Instruct uniquely exposes Structured outputs in local model data.
- Local decision data tags Together AI Qwen2-72B-Instruct for Classification and JSON / Tool use.
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
Together AI Qwen2-72B-Instruct
$735
Cheapest tracked route: Together AI
Estimated monthly gap: $468. 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 Together AI Qwen2-72B-Instruct; plan for SDK, billing, or endpoint changes.
- Together AI Qwen2-72B-Instruct is $0.11/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
- Together AI Qwen2-72B-Instruct adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Together AI Qwen2-72B-Instruct and ERNIE X1 Turbo; plan for SDK, billing, or endpoint changes.
- ERNIE X1 Turbo is $0.11/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- 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 | 2024-06-07 |
| Context window | 32K | 33K |
| Parameters | — | 72B |
| Architecture | - | decoder only |
| License | Proprietary | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | ERNIE X1 Turbo | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Input price | $0.15/1M tokens | $0.7/1M tokens |
| Output price | $0.59/1M tokens | $0.7/1M tokens |
| Providers |
Capabilities
| Capability | ERNIE X1 Turbo | Together AI Qwen2-72B-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: Together AI Qwen2-72B-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 Together AI Qwen2-72B-Instruct lists $0.7/1M input and $0.7/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts ERNIE X1 Turbo lower by about $0.42 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose ERNIE X1 Turbo when reasoning depth and lower input-token cost are central to the workload. Choose Together AI Qwen2-72B-Instruct when long-context analysis and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which has a larger context window, ERNIE X1 Turbo or Together AI Qwen2-72B-Instruct?
Together AI Qwen2-72B-Instruct supports 33K 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 Together AI Qwen2-72B-Instruct?
ERNIE X1 Turbo is cheaper on tracked token pricing. ERNIE X1 Turbo costs $0.15/1M input and $0.59/1M output tokens. Together AI Qwen2-72B-Instruct costs $0.7/1M input and $0.7/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is ERNIE X1 Turbo or Together AI Qwen2-72B-Instruct open source?
ERNIE X1 Turbo is listed under Proprietary. Together AI Qwen2-72B-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 Together AI Qwen2-72B-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 Together AI Qwen2-72B-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 Together AI Qwen2-72B-Instruct?
ERNIE X1 Turbo is available on Baidu Qianfan. Together AI Qwen2-72B-Instruct is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.