Kolibri 1 vs Qwen3.8 Flash Next vs MiniMax-M3.1-Flash
MiniMax-M3.1-Flash comes out ahead, 70 to 65 and 60 on our weighted score, and it is the cheaper option too.
Aleph AlphaKolibri 1
60/100- ECI—
- Price$0.164 / $0.574
- Context1.05M
Alibaba (Qwen)Qwen3.8 Flash Next
65/100- ECI—
- Price$0.20 / $0.50
- Context262K
- Our pick
MiniMaxMiniMax-M3.1-Flash
70/100- ECI—
- Price$0.15 / $0.60
- Context1M
MiniMax-M3.1-Flash is our pick
MiniMax-M3.1-Flash is the better all-round choice, scoring 70/100 against Qwen3.8 Flash Next (65) and Kolibri 1 (60). 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 priceMiniMax-M3.1-FlashMiniMax-M3.1-Flash $0.263 · Kolibri 1 $0.266 · Qwen3.8 Flash Next $0.275 per 1M tokens (3:1 blend)
- Longest contextKolibri 1Kolibri 1 1,048,576 · MiniMax-M3.1-Flash 1,000,000 · Qwen3.8 Flash Next 262,144 tokens
- Widest inputsQwen3.8 Flash Next and MiniMax-M3.1-FlashKolibri 1: Text · Qwen3.8 Flash Next: Text, Images, Video · MiniMax-M3.1-Flash: Text, Images, Video
- Self-hostingKolibri 1 and Qwen3.8 Flash NextPublishes downloadable weights (Apache-2.0 and qwen-community-1.0)
| Measure | Weight | Kolibri 1 | Qwen3.8 Flash Next | MiniMax-M3.1-Flash |
|---|---|---|---|---|
| Price | 50% | 74 | 73 | 74 |
| Inputs & features | 30% | 35 | 70 | 70 |
| Context window | 20% | 61 | 37 | 60 |
| Overall | 100% | 60/100 | 65/100 | 70/100 |
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 | Kolibri 1Aleph Alpha | Qwen3.8 Flash NextAlibaba (Qwen) | MiniMax-M3.1-FlashMiniMax |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.164 | $0.20 | $0.15 (best) |
| Output | $0.574 | $0.50 (best) | $0.60 |
| Cached input | — | — | $0.015 |
| Blended (3:1) | $0.266 | $0.275 | $0.263 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 4 providers | Median of 4 providers | Official MiniMax (minimax.io) API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 262,144 tokens | 1,000,000 tokens |
| Max output | — | 131,072 tokens | 512,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | Yes |
| Reasoning | Yes | Yes | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenApache-2.0 | Openqwen-community-1.0 | Proprietary |
| API model ID | — | — | MiniMax-M3.1-Flash |
| API providers | 4 | 5 | 25 (best) |
| Released | Oct 3, 2026 | Aug 27, 2026 | Oct 19, 2026 |
| Knowledge cutoff | Jun 18, 2026 | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Kolibri 1$2.78
- Qwen3.8 Flash Next$3.00
- MiniMax-M3.1-Flash$2.70
Which should you choose?
Which is better: Kolibri 1, Qwen3.8 Flash Next or MiniMax-M3.1-Flash?
MiniMax-M3.1-Flash is the better all-round choice, scoring 70/100 against Qwen3.8 Flash Next (65) and Kolibri 1 (60). 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, Kolibri 1, Qwen3.8 Flash Next or MiniMax-M3.1-Flash?
MiniMax-M3.1-Flash is cheaper at $0.15 input / $0.60 output per million tokens (official MiniMax (minimax.io) API price). Kolibri 1 costs $0.164 input / $0.574 output per million tokens (median across 4 API providers); Qwen3.8 Flash Next costs $0.20 input / $0.50 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for MiniMax-M3.1-Flash versus $0.266 for Kolibri 1 (1× as much) and $0.275 for Qwen3.8 Flash Next (1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Kolibri 1 has not been scored yet, Qwen3.8 Flash Next has not been scored yet and MiniMax-M3.1-Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Kolibri 1, Qwen3.8 Flash Next and MiniMax-M3.1-Flash 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?
Kolibri 1 has the largest context window at 1,048,576 tokens, against 1,000,000 for MiniMax-M3.1-Flash and 262,144 for Qwen3.8 Flash Next. Maximum output per response: Qwen3.8 Flash Next up to 131,072, MiniMax-M3.1-Flash up to 512,000 tokens.
Which can read images, PDFs, audio or video?
Kolibri 1 accepts text; Qwen3.8 Flash Next accepts text, images and video; MiniMax-M3.1-Flash accepts text, images and video. Qwen3.8 Flash Next handles the widest range of inputs.
Are any of these open source?
Kolibri 1 and Qwen3.8 Flash Next publishes its weights (Apache-2.0 and qwen-community-1.0) and can be self-hosted; MiniMax-M3.1-Flash is proprietary.
Which is newer?
MiniMax-M3.1-Flash is the newest, released Oct 19, 2026. Kolibri 1 came out Oct 3, 2026; Qwen3.8 Flash Next came out Aug 27, 2026. Knowledge cutoff: Kolibri 1 Jun 18, 2026.
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 Nov 2, 2026.
