API cost decision in 10 seconds

NewMiniMax M3.1 Flash vs Qwen3.8 Omni Flash

Pick Qwen3.8 Omni Flash 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 Qwen3.8 Omni Flash when budget is the priority.

On the standard 1M input plus 500K output workload, Qwen3.8 Omni Flash is estimated at $0.39 vs $0.45 for MiniMax M3.1 Flash, saving $0.06 (14.4% lower).

Cost-first pickQwen3.8 Omni Flash
Context-first pickBoth models
Sample savings$0.0614.4%
10x traffic gap$0.65

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.65. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3.8 Omni Flash stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMiniMax M3.1 FlashQwen3.8 Omni Flash
Input-heavy / RAG5M input + 500K outputQwen3.8 Omni Flash$1.05$0.98
Balanced workload1M input + 1M outputQwen3.8 Omni Flash$0.75$0.62
Output-heavy chatbot1M input + 5M outputQwen3.8 Omni Flash$3.15$2.5
Cheaper input Tie $0.15 vs $0.15 / 1M

Both models report the same input price at $0.15 per 1M tokens.

Cheaper output Qwen3.8 Omni Flash $0.6 vs $0.47 / 1M

Qwen3.8 Omni Flash is $0.13 cheaper per 1M output tokens (21.7% lower; 1.28x difference).

Larger context Tie 1M vs 1M

Both models report the same context window at 1M tokens.

Sample workload Qwen3.8 Omni Flash $0.45 vs $0.39

Qwen3.8 Omni Flash is $0.06 cheaper on the standard workload (14.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
MiniMax M3.1 Flash Calculating… Estimated API cost
Qwen3.8 Omni Flash 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

both models tie on input price; Qwen3.8 Omni Flash has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Qwen3.8 Omni Flash is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.45 for MiniMax M3.1 Flash and $0.39 for Qwen3.8 Omni Flash.

Best Fit

Choose MiniMax M3.1 Flash when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Qwen3.8 Omni Flash when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3.8 Omni Flash is estimated at $0.39 vs $0.45 for MiniMax M3.1 Flash, saving $0.06 (14.4% lower).
  • Qwen3.8 Omni Flash is $0.06 cheaper on the standard workload (14.4% lower).
  • Both models report the same input price at $0.15 per 1M tokens.
  • Qwen3.8 Omni Flash is $0.13 cheaper per 1M output tokens (21.7% lower; 1.28x difference).
  • Both models report the same context window at 1M tokens.
Head-to-Head Specs
FeatureNewMiniMax M3.1 Flash
(MiniMax)		Qwen3.8 Omni Flash
(Qwen)
Input Price
prompt tokens per 1M		$0.15$0.15
Completion Price
per 1M tokens		$0.6$0.47
Sample Workload Cost
1M input + 500K output		$0.45$0.39
Context Window1M1M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3.8 Omni FlashOn the standard 1M input plus 500K output workload, Qwen3.8 Omni Flash is estimated at $0.39 vs $0.45 for MiniMax M3.1 Flash, saving $0.06 (14.4% lower).
High-volume input processingTieLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3.8 Omni FlashLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • MiniMax M3.1 Flash (free) can replace MiniMax M3.1 Flash when lower sample workload cost matters most: $0.
  • MiniMax M3 (free) can replace MiniMax M3.1 Flash when lower sample workload cost matters most: $0.
  • MiniMax M2.7 (free) can replace MiniMax M3.1 Flash when lower sample workload cost matters most: $0.
  • MiniMax M2.5 (free) can replace MiniMax M3.1 Flash when lower sample workload cost matters most: $0.
Larger context near this budget
  • Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
  • MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
  • GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
  • GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.

Cheaper alternatives

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

Open cheapest models

Larger context alternatives

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

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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MiniMax catalog

Review all tracked MiniMax models before deciding whether this matchup is the right shortlist.

Open MiniMax models

Qwen catalog

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

Open Qwen models
MiniMax M3.1 Flash

MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...

Qwen3.8 Omni Flash

Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...