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DeepSeek-V4-Flash-0731 vs Inkling-Small

DeepSeek-V4-Flash-0731 leads the LLM Stats Score 46.1 to 39.3. DeepSeek-V4-Flash-0731 is 4.7x cheaper per token.

DeepSeek · Thinking Machines Lab · Updated for 2026

Which is better?

DeepSeek-V4-Flash-0731 leads the overall LLM Stats Score 46.1 to 39.3, ranking #23 overall.

In the 2 individual benchmarks reported for both models, DeepSeek-V4-Flash-0731 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V4-Flash-0731 is roughly 4.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4-Flash-0731 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Flash-0731

  • overall performance matters — it scores 46.1 and ranks #23 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 4.7x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose Inkling-Small

  • you want predictable pricing at $0.30/M input and $1.20/M output

At a glance

The differences that matter most.

Core performance indexes
46.1
#23
39.3
#53
43.3
#35
39.0
#52
36.2
#24
31.1
#45
33.2
#21
24.8
#45
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.09 / M
$0.30 / M
Output price
$0.18 / M
$1.20 / M
Context window
1,048,576
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Flash-0731
Inkling-Small
27.1#21
23.3#38
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for DeepSeek-V4-Flash-0731 · 24 for Inkling-Small

2 shared

DeepSeek-V4-Flash-0731 outperforms in 2 benchmarks (Terminal-Bench 2.1, Toolathlon), while Inkling-Small is better at 0 benchmarks.

DeepSeek-V4-Flash-0731 significantly outperforms across most benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4-Flash-0731 costs less

For input processing, DeepSeek-V4-Flash-0731 ($0.09/1M tokens) is 3.3x cheaper than Inkling-Small ($0.30/1M tokens).

For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 6.7x cheaper than Inkling-Small ($1.20/1M tokens).

In conclusion, Inkling-Small is more expensive than DeepSeek-V4-Flash-0731.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Aug 28 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Flash-0731
Input tokens$0.09
Output tokens$0.18
Best providerDeepinfra
Thinking Machines Lab
Inkling-Small
Input tokens$0.30
Output tokens$1.20
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

28.0B diff

DeepSeek-V4-Flash-0731 has 28.0B more parameters than Inkling-Small, making it 10.1% larger.

DeepSeek
DeepSeek-V4-Flash-0731
304.0Bparameters
Thinking Machines Lab
Inkling-Small
276.0Bparameters
304.0B
DeepSeek-V4-Flash-0731
276.0B
Inkling-Small

Context Window

Maximum input and output token capacity

DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to Inkling-Small's 256,000 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 384,000 tokens, while Inkling-Small is limited to 256,000 tokens.

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output384,000 tokens
Thinking Machines Lab
Inkling-Small
Input256,000 tokens
Output256,000 tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Inkling-Small supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.

Inkling-Small can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Flash-0731

Text
Images
Audio
Video

Inkling-Small

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Flash-0731 is licensed under MIT, while Inkling-Small uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V4-Flash-0731

MIT

Open weights

Inkling-Small

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Inkling-Small was released on 2026-07-30.

DeepSeek-V4-Flash-0731 is 0 month newer than Inkling-Small.

DeepSeek-V4-Flash-0731

Jul 31, 2026

4 weeks ago

1d newer
Inkling-Small

Jul 30, 2026

4 weeks ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks. Inkling-Small is available from Thinking Machines Lab.

DeepSeek-V4-Flash-0731

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.18/1M
novita logo
Novita
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
fireworks logo
Fireworks
Input Price:Input: $0.44/1MOutput Price:Output: $1.32/1M

Inkling-Small

thinking-machines logo
Unknown Organization
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-0731 and Inkling-Small side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
Inkling-Small
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs Inkling-Small.

Which is better, DeepSeek-V4-Flash-0731 or Inkling-Small?

DeepSeek-V4-Flash-0731 leads the LLM Stats Score 46.1 to 39.3. DeepSeek-V4-Flash-0731 is made by DeepSeek and Inkling-Small is made by Thinking Machines Lab. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4-Flash-0731 compare to Inkling-Small in benchmarks?

DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%. Inkling-Small scores AIME 2026: 95.5%, VoiceBench Avg: 90.1%, GPQA: 89.5%, Global-MMLU-Lite: 86.7%, ARC-AGI: 84.0%.

Is DeepSeek-V4-Flash-0731 cheaper than Inkling-Small?

DeepSeek-V4-Flash-0731 is 3.3x cheaper for input tokens. DeepSeek-V4-Flash-0731 costs $0.09/M input and $0.18/M output via deepinfra. Inkling-Small costs $0.30/M input and $1.20/M output via thinking-machines.

What are the context window sizes for DeepSeek-V4-Flash-0731 and Inkling-Small?

DeepSeek-V4-Flash-0731 supports 1.0M tokens and Inkling-Small supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Flash-0731 and Inkling-Small?

Key differences include LLM Stats Score (46.1 vs 39.3), context window (1.0M vs 256K), input pricing ($0.09 vs $0.30/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0731 and Inkling-Small?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and Inkling-Small is developed by Thinking Machines Lab.