API cost decision in 10 seconds

Qianfan-OCR-Fast vs Gemma 4 31B

Pick Gemma 4 31B when budget and context both matter.

Pricing data updated: 2026-05-26T11:08:00Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Gemma 4 31B when budget and context both matter.

On the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $2.08 for Qianfan-OCR-Fast, saving $1.78 (85.4% lower).

Cost-first pickGemma 4 31B

Context-first pickGemma 4 31B

Sample savings$1.7885.4%

10x traffic gap$17.8

Gemma 4 31B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $17.8. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Gemma 4 31B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Qianfan-OCR-Fast	Gemma 4 31B
Input-heavy / RAG	5M input + 500K output	Gemma 4 31B	$4.81	$0.78
Balanced workload	1M input + 1M output	Gemma 4 31B	$3.49	$0.49
Output-heavy chatbot	1M input + 5M output	Gemma 4 31B	$14.73	$1.97

Cheaper input Gemma 4 31B $0.68 vs $0.12 / 1M

Gemma 4 31B is $0.56 cheaper per 1M input tokens (82.4% lower; 5.67x difference).

Cheaper output Gemma 4 31B $2.81 vs $0.37 / 1M

Gemma 4 31B is $2.44 cheaper per 1M output tokens (86.8% lower; 7.59x difference).

Larger context Gemma 4 31B 65.54K vs 262.14K

Gemma 4 31B has 196.61K more context (4x larger).

Sample workload Gemma 4 31B $2.08 vs $0.3

Gemma 4 31B is $1.78 cheaper on the standard workload (85.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Qianfan-OCR-Fast Calculating… Estimated API cost

Gemma 4 31B Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

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

Verdict

Gemma 4 31B has the lower input price; Gemma 4 31B has the lower output price; Gemma 4 31B offers the larger context window. For the 1M input plus 500K output sample, Gemma 4 31B 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 $0.3 for Gemma 4 31B.

Best Fit

Choose Qianfan-OCR-Fast when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Gemma 4 31B when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $2.08 for Qianfan-OCR-Fast, saving $1.78 (85.4% lower).
Gemma 4 31B is $1.78 cheaper on the standard workload (85.4% lower).
Gemma 4 31B is $0.56 cheaper per 1M input tokens (82.4% lower; 5.67x difference).
Gemma 4 31B is $2.44 cheaper per 1M output tokens (86.8% lower; 7.59x difference).
Gemma 4 31B has 196.61K more context (4x larger).

Head-to-Head Specs

Feature	Qianfan-OCR-Fast (Baidu)	Gemma 4 31B (Google)
Input Price prompt tokens per 1M	$0.68	$0.12
Completion Price per 1M tokens	$2.81	$0.37
Sample Workload Cost 1M input + 500K output	$2.08	$0.3
Context Window	65.54K	262.14K
Release Date	2026-04-20	2026-04-02

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Gemma 4 31B	On the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $2.08 for Qianfan-OCR-Fast, saving $1.78 (85.4% lower).
High-volume input processing	Gemma 4 31B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Gemma 4 31B	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Gemma 4 31B	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

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.

Larger context near this budget

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.
Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.

Popular competitors

No popular competitor is currently available.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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Baidu catalog

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Google catalog

Check other Google models with comparable pricing, context, or release timing.

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Qianfan-OCR-Fast

Qianfan-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.

Gemma 4 31B

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...