API cost decision in 10 seconds

🔥Hunyuan A13B Instruct vs DeepSeek V4 Flash 0731 (batch)

Pick DeepSeek V4 Flash 0731 (batch) when budget and context both matter.

Page updated: 2026-09-08T16:08:13Z Data confirmed: 2026-09-08T23:08:16Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick DeepSeek V4 Flash 0731 (batch) when budget and context both matter.

On the standard 1M input plus 500K output workload, DeepSeek V4 Flash 0731 (batch) is estimated at $0.28 vs $0.42 for Hunyuan A13B Instruct, saving $0.15 (35.3% lower).

Cost-first pickDeepSeek V4 Flash 0731 (batch)

Context-first pickDeepSeek V4 Flash 0731 (batch)

Sample savings$0.1535.3%

10x traffic gap$1.5

DeepSeek V4 Flash 0731 (batch) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

DeepSeek V4 Flash 0731 (batch) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Hunyuan A13B Instruct	DeepSeek V4 Flash 0731 (batch)
Input-heavy / RAG	5M input + 500K output	DeepSeek V4 Flash 0731 (batch)	$0.99	$0.72
Balanced workload	1M input + 1M output	DeepSeek V4 Flash 0731 (batch)	$0.71	$0.44
Output-heavy chatbot	1M input + 5M output	DeepSeek V4 Flash 0731 (batch)	$2.99	$1.76

Cheaper input DeepSeek V4 Flash 0731 (batch) $0.14 vs $0.11 / 1M

DeepSeek V4 Flash 0731 (batch) is $0.03 cheaper per 1M input tokens (21.4% lower; 1.27x difference).

Cheaper output DeepSeek V4 Flash 0731 (batch) $0.57 vs $0.33 / 1M

DeepSeek V4 Flash 0731 (batch) is $0.24 cheaper per 1M output tokens (42.1% lower; 1.73x difference).

Larger context DeepSeek V4 Flash 0731 (batch) 131.07K vs 1.05M

DeepSeek V4 Flash 0731 (batch) has 917.5K more context (8x larger).

Sample workload DeepSeek V4 Flash 0731 (batch) $0.42 vs $0.28

DeepSeek V4 Flash 0731 (batch) is $0.15 cheaper on the standard workload (35.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Hunyuan A13B Instruct Calculating… Estimated API cost

DeepSeek V4 Flash 0731 (batch) 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

DeepSeek V4 Flash 0731 (batch) has the lower input price; DeepSeek V4 Flash 0731 (batch) has the lower output price; DeepSeek V4 Flash 0731 (batch) offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V4 Flash 0731 (batch) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.42 for Hunyuan A13B Instruct and $0.28 for DeepSeek V4 Flash 0731 (batch).

Best Fit

Choose Hunyuan A13B Instruct when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose DeepSeek V4 Flash 0731 (batch) 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, DeepSeek V4 Flash 0731 (batch) is estimated at $0.28 vs $0.42 for Hunyuan A13B Instruct, saving $0.15 (35.3% lower).
DeepSeek V4 Flash 0731 (batch) is $0.15 cheaper on the standard workload (35.3% lower).
DeepSeek V4 Flash 0731 (batch) is $0.03 cheaper per 1M input tokens (21.4% lower; 1.27x difference).
DeepSeek V4 Flash 0731 (batch) is $0.24 cheaper per 1M output tokens (42.1% lower; 1.73x difference).
DeepSeek V4 Flash 0731 (batch) has 917.5K more context (8x larger).

Head-to-Head Specs

Feature	🔥Hunyuan A13B Instruct (Tencent)	DeepSeek V4 Flash 0731 (batch) (DeepSeek)
Input Price prompt tokens per 1M	$0.14	$0.11
Completion Price per 1M tokens	$0.57	$0.33
Sample Workload Cost 1M input + 500K output	$0.42	$0.28
Context Window	131.07K	1.05M
Release Date	2025-07-08	2026-07-31
Popularity	#18

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	DeepSeek V4 Flash 0731 (batch)	On the standard 1M input plus 500K output workload, DeepSeek V4 Flash 0731 (batch) is estimated at $0.28 vs $0.42 for Hunyuan A13B Instruct, saving $0.15 (35.3% lower).
High-volume input processing	DeepSeek V4 Flash 0731 (batch)	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	DeepSeek V4 Flash 0731 (batch)	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	DeepSeek V4 Flash 0731 (batch)	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Hy3 (free) can replace Hunyuan A13B Instruct when lower sample workload cost matters most: $0.
Hy-MT2-1.8B can replace Hunyuan A13B Instruct when lower sample workload cost matters most: $0.13.
Hy-MT2-30B-A3B can replace Hunyuan A13B Instruct when lower sample workload cost matters most: $0.22.
Hy-MT2-7B can replace Hunyuan A13B Instruct when lower sample workload cost matters most: $0.22.

Larger context near this budget

DeepSeek V4 Flash 0731 offers 1.31M context with $0.15 sample workload cost.
GLM 5.3 Flash offers 1.31M context with $0.2 sample workload cost.
GLM Flash Latest offers 1.31M context with $0.2 sample workload cost.
DeepSeek V4 Flash Latest offers 1.31M context with $0.13 sample workload cost.

Popular competitors

Hy4 preview · Tencent · #1
GPT-5.6 Luna · OpenAI · #2
DeepSeek V4 Flash 0731 · DeepSeek · #3
GLM 5.3 Flash · Z.ai · #4

Cheaper alternatives

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Provider catalogs

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Tencent catalog

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DeepSeek catalog

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Hunyuan A13B Instruct

Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark...

DeepSeek V4 Flash 0731 (batch)

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....