Qwen3.8 2.4T A95B vs Inkling Small vs Kimi K2.7 Code Highspeed
Inkling Small comes out ahead, 62 to 44 and 34 on our weighted score, and it is the cheaper option too.
Alibaba (Qwen)Qwen3.8 2.4T A95B
34/100- ECI—
- Price$2.00 / $6.00
- Context262K
- Our pick
Thinking MachinesInkling Small
62/100- ECI150.2
- Price$0.50 / $1.20
- Context1.05M
Moonshot AIKimi K2.7 Code Highspeed
44/100- ECI—
- Price$1.90 / $8.00
- Context262K
Inkling Small is our pick
Inkling Small is the better all-round choice, scoring 62/100 against Kimi K2.7 Code Highspeed (44) and Qwen3.8 2.4T A95B (34). It leads on price and context window. Kimi K2.7 Code Highspeed wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceInkling SmallInkling Small $0.675 · Qwen3.8 2.4T A95B $3.00 · Kimi K2.7 Code Highspeed $3.42 per 1M tokens (3:1 blend)
- Longest contextInkling SmallInkling Small 1,048,576 · Qwen3.8 2.4T A95B 262,144 · Kimi K2.7 Code Highspeed 262,144 tokens
- Widest inputsInkling Small and Kimi K2.7 Code HighspeedQwen3.8 2.4T A95B: Text · Inkling Small: Text, Images, Audio · Kimi K2.7 Code Highspeed: Text, Images, Video
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen3.8 2.4T A95B | Inkling Small | Kimi K2.7 Code Highspeed |
|---|---|---|---|---|
| Price | 50% | 27 | 58 | 25 |
| Inputs & features | 30% | 45 | 70 | 80 |
| Context window | 20% | 37 | 61 | 37 |
| Overall | 100% | 34/100 | 62/100 | 44/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Qwen3.8 2.4T A95BAlibaba (Qwen) | Inkling SmallThinking Machines | Kimi K2.7 Code HighspeedMoonshot AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 150.2 | — |
| ECI rank | — | #47 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 88.5% | — |
| FrontierMath Tiers 1–3Research-level mathematics | — | 46.3% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 90.0% | — |
| SimpleQA VerifiedShort factual questions | — | 19.1% | — |
| Price per million tokens | |||
| Input | $2.00 | $0.50 (best) | $1.90 |
| Output | $6.00 | $1.20 (best) | $8.00 |
| Cached input | — | — | — |
| Blended (3:1) | $3.00 | $0.675 (best) | $3.42 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 21 providers | Median of 11 providers | Median of 11 providers |
| Limits | |||
| Context window | 262,144 tokens | 1,048,576 tokens (best) | 262,144 tokens |
| Max output | 131,072 tokens | 1,048,576 tokens (best) | 262,144 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | Yes | No |
| Video | No | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Openqwen3.8-max | OpenApache-2.0 | Open |
| API model ID | — | — | — |
| API providers | 21 (best) | 11 | 11 |
| Released | Aug 12, 2026 | Jul 30, 2026 | Jun 12, 2026 |
| Knowledge cutoff | — | — | Jan 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen3.8 2.4T A95B$32.00
- Inkling Small$7.40
- Kimi K2.7 Code Highspeed$35.00
Which should you choose?
Which is better: Qwen3.8 2.4T A95B, Inkling Small or Kimi K2.7 Code Highspeed?
Inkling Small is the better all-round choice, scoring 62/100 against Kimi K2.7 Code Highspeed (44) and Qwen3.8 2.4T A95B (34). It leads on price and context window. Kimi K2.7 Code Highspeed wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Qwen3.8 2.4T A95B, Inkling Small or Kimi K2.7 Code Highspeed?
Inkling Small is cheaper at $0.50 input / $1.20 output per million tokens (median across 11 API providers). Qwen3.8 2.4T A95B costs $2.00 input / $6.00 output per million tokens (median across 21 API providers); Kimi K2.7 Code Highspeed costs $1.90 input / $8.00 output per million tokens (median across 11 API providers). At a typical mix of three input tokens to one output token, that is $0.675 per million tokens for Inkling Small versus $3.00 for Qwen3.8 2.4T A95B (4.4× as much) and $3.42 for Kimi K2.7 Code Highspeed (5.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3.8 2.4T A95B has not been scored yet, Inkling Small has an ECI of 150.2 and Kimi K2.7 Code Highspeed has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.8 2.4T A95B, Inkling Small and Kimi K2.7 Code Highspeed yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Inkling Small has the largest context window at 1,048,576 tokens, against 262,144 for Qwen3.8 2.4T A95B and 262,144 for Kimi K2.7 Code Highspeed. Maximum output per response: Qwen3.8 2.4T A95B up to 131,072, Inkling Small up to 1,048,576, Kimi K2.7 Code Highspeed up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Qwen3.8 2.4T A95B accepts text; Inkling Small accepts text, images and audio; Kimi K2.7 Code Highspeed accepts text, images and video. Inkling Small handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (qwen3.8-max and Apache-2.0), so you can self-host them.
Which is newer?
Qwen3.8 2.4T A95B is the newest, released Aug 12, 2026. Inkling Small came out Jul 30, 2026; Kimi K2.7 Code Highspeed came out Jun 12, 2026. Knowledge cutoff: Kimi K2.7 Code Highspeed Jan 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
