LLM Reference

Magistral Small 2506 vs Qianfan-OCR-Fast

Magistral Small 2506 (2025) and Qianfan-OCR-Fast (2026) are frontier reasoning models from MistralAI and Baidu AI. Magistral Small 2506 ships a 128k-token context window, while Qianfan-OCR-Fast ships a 66k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

Qianfan-OCR-Fast is safer overall; choose Magistral Small 2506 when reasoning depth matters.

Decision scorecard

Local evidence first
SignalMagistral Small 2506Qianfan-OCR-Fast
Best forreasoning-heavy appsmultimodal apps
Decision fitLong contextVision
Context window128k66k
Cheapest output-$2.81/1M tokens
Provider routes1 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Magistral Small 2506 when...
  • Magistral Small 2506 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Magistral Small 2506 uniquely exposes Reasoning in local model data.
  • Local decision data tags Magistral Small 2506 for Long context.
Choose Qianfan-OCR-Fast when...
  • Qianfan-OCR-Fast uniquely exposes Vision and Multimodal in local model data.
  • Local decision data tags Qianfan-OCR-Fast for Vision.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Magistral Small 2506

Unavailable

No complete token price in local provider data

Qianfan-OCR-Fast

$1,247

Cheapest tracked route/tier: OpenRouter

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Magistral Small 2506 -> Qianfan-OCR-Fast
  • No overlapping tracked provider route is sourced for Magistral Small 2506 and Qianfan-OCR-Fast; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.
  • Qianfan-OCR-Fast adds Vision and Multimodal in local capability data.
Qianfan-OCR-Fast -> Magistral Small 2506
  • No overlapping tracked provider route is sourced for Qianfan-OCR-Fast and Magistral Small 2506; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision and Multimodal before moving production traffic.
  • Magistral Small 2506 adds Reasoning in local capability data.

Specs

Specification
Released2025-06-102026-04-20
Context window128k66k
Parameters24B
Architecturedecoder onlydecoder only
LicenseApache 2.0Proprietary
Knowledge cutoff2025-06-

Pricing and availability

Pricing attributeMagistral Small 2506Qianfan-OCR-Fast
Input price-$0.68/1M tokens
Output price-$2.81/1M tokens
Providers

Capabilities

CapabilityMagistral Small 2506Qianfan-OCR-Fast
VisionNoYes
MultimodalNoYes
ReasoningYesNo
Function callingNoNo
Tool useNoNo
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Qianfan-OCR-Fast, multimodal input: Qianfan-OCR-Fast, and reasoning mode: Magistral Small 2506. 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.

Pricing coverage is uneven: Magistral Small 2506 has no token price sourced yet and Qianfan-OCR-Fast has $0.68/1M input tokens. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Magistral Small 2506 when reasoning depth and larger context windows are central to the workload. Choose Qianfan-OCR-Fast when vision-heavy evaluation 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. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which has a larger context window, Magistral Small 2506 or Qianfan-OCR-Fast?

Magistral Small 2506 supports 128k tokens, while Qianfan-OCR-Fast supports 66k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Magistral Small 2506 or Qianfan-OCR-Fast open source?

Magistral Small 2506 is listed under Apache 2.0. Qianfan-OCR-Fast is listed under Proprietary. 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, Magistral Small 2506 or Qianfan-OCR-Fast?

Qianfan-OCR-Fast 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Magistral Small 2506 or Qianfan-OCR-Fast?

Qianfan-OCR-Fast 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.

Which is better for reasoning mode, Magistral Small 2506 or Qianfan-OCR-Fast?

Magistral Small 2506 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Magistral Small 2506 and Qianfan-OCR-Fast?

Magistral Small 2506 is available on NVIDIA NIM. Qianfan-OCR-Fast is available on OpenRouter. 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.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.