MiniMax M2-her is $0.38 cheaper per 1M input tokens (55.9% lower; 2.27x difference).
API cost decision in 10 seconds
Qianfan-OCR-Fast vs MiniMax M2-her
Pick MiniMax M2-her when budget is the priority.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick MiniMax M2-her when budget is the priority.
On the standard 1M input plus 500K output workload, MiniMax M2-her is estimated at $0.9 vs $2.08 for Qianfan-OCR-Fast, saving $1.19 (56.8% lower).
Cost-first pickMiniMax M2-her
Context-first pickBoth models
Sample savings$1.1956.8%
10x traffic gap$11.85
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $11.85. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiniMax M2-her stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qianfan-OCR-Fast | MiniMax M2-her |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiniMax M2-her | $4.81 | $2.1 |
| Balanced workload | 1M input + 1M output | MiniMax M2-her | $3.49 | $1.5 |
| Output-heavy chatbot | 1M input + 5M output | MiniMax M2-her | $14.73 | $6.3 |
MiniMax M2-her is $1.61 cheaper per 1M output tokens (57.3% lower; 2.34x difference).
Both models report the same context window at 65.54K tokens.
MiniMax M2-her is $1.19 cheaper on the standard workload (56.8% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
MiniMax M2-her has the lower input price; MiniMax M2-her has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, MiniMax M2-her is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $2.08 for Qianfan-OCR-Fast and $0.9 for MiniMax M2-her.
Choose Qianfan-OCR-Fast when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose MiniMax M2-her when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, MiniMax M2-her is estimated at $0.9 vs $2.08 for Qianfan-OCR-Fast, saving $1.19 (56.8% lower).
- MiniMax M2-her is $1.19 cheaper on the standard workload (56.8% lower).
- MiniMax M2-her is $0.38 cheaper per 1M input tokens (55.9% lower; 2.27x difference).
- MiniMax M2-her is $1.61 cheaper per 1M output tokens (57.3% lower; 2.34x difference).
- Both models report the same context window at 65.54K tokens.
| Feature | Qianfan-OCR-Fast (Baidu) | MiniMax M2-her (MiniMax) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.68 | $0.3 |
| Completion Price per 1M tokens | $2.81 | $1.2 |
| Sample Workload Cost 1M input + 500K output | $2.08 | $0.9 |
| Context Window | 65.54K | 65.54K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiniMax M2-her | On the standard 1M input plus 500K output workload, MiniMax M2-her is estimated at $0.9 vs $2.08 for Qianfan-OCR-Fast, saving $1.19 (56.8% lower). |
| High-volume input processing | MiniMax M2-her | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiniMax M2-her | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- ERNIE 4.5 21B A3B Thinking can replace Qianfan-OCR-Fast when lower sample workload cost matters most: $0.21.
- ERNIE 4.5 21B A3B can replace Qianfan-OCR-Fast when lower sample workload cost matters most: $0.21.
- ERNIE 4.5 VL 28B A3B can replace Qianfan-OCR-Fast when lower sample workload cost matters most: $0.42.
- ERNIE 4.5 300B A47B can replace Qianfan-OCR-Fast when lower sample workload cost matters most: $0.83.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsBaidu catalog
Review all tracked Baidu models before deciding whether this matchup is the right shortlist.
Open Baidu modelsMiniMax catalog
Check other MiniMax models with comparable pricing, context, or release timing.
Open MiniMax modelsQianfan-OCR-Fast is a domain-specific multimodal large model purpose-built for OCR. By leveraging specialized OCR training data while preserving versatile multimodal intelligence, it provides a powerful performance upgrade over Qianfan-OCR.
MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message...