MiniMax-M2.5-highspeed vs Qwen3 Coder Next vs Seed 2.0 Code
Seed 2.0 Code comes out ahead, 57 to 51 and 41 on our weighted score, though Qwen3 Coder Next is 2.1× cheaper per token.
MiniMax
MiniMax-M2.5-highspeed
41/100- ECI—
- Price$0.60 / $2.40
- Context205K
Alibaba (Qwen)
Qwen3 Coder Next
51/100- ECI—
- Price$0.20 / $1.20
- Context262K
- Our pick
ByteDance Seed
Seed 2.0 Code
57/100- ECI—
- Price$0.475 / $2.37
- Context262K
Seed 2.0 Code is our pick
Seed 2.0 Code is the better all-round choice, scoring 57/100 against Qwen3 Coder Next (51) and MiniMax-M2.5-highspeed (41). It leads on inputs & features. Qwen3 Coder Next wins on price. 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 priceQwen3 Coder NextQwen3 Coder Next $0.45 · Seed 2.0 Code $0.95 · MiniMax-M2.5-highspeed $1.05 per 1M tokens (3:1 blend)
- Longest contextQwen3 Coder Next and Seed 2.0 CodeQwen3 Coder Next 262,144 · Seed 2.0 Code 262,144 · MiniMax-M2.5-highspeed 204,800 tokens
- Widest inputsSeed 2.0 CodeMiniMax-M2.5-highspeed: Text · Qwen3 Coder Next: Text · Seed 2.0 Code: Text, Images, Video
- Self-hostingMiniMax-M2.5-highspeed and Qwen3 Coder NextPublishes downloadable weights
| Measure | Weight | MiniMax-M2.5-highspeed | Qwen3 Coder Next | Seed 2.0 Code |
|---|---|---|---|---|
| Price | 50% | 49 | 66 | 51 |
| Inputs & features | 30% | 35 | 35 | 80 |
| Context window | 20% | 32 | 37 | 37 |
| Overall | 100% | 41/100 | 51/100 | 57/100 |
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 | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.60 | $0.20 (best) | $0.475 |
| Output | $2.40 | $1.20 (best) | $2.37 |
| Cached input | $0.06 (best) | — | $0.095 |
| Blended (3:1) | $1.05 | $0.45 (best) | $0.95 |
| Long-context rate | Same rate | Same rate | Over 32K: $0.712 / $3.56 |
| Price source | Official MiniMax (minimax.io) API | Median of 11 providers | Official Volcengine Ark API |
| Limits | |||
| Context window | 204,800 tokens | 262,144 tokens (best) | 262,144 tokens (best) |
| Max output | 131,072 tokens (best) | 65,536 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yes | No | Yesminimal · low · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | MiniMax-M2.5-highspeed | — | doubao-seed-2-0-code-preview-260215 |
| API providers | 7 | 11 (best) | 10 |
| Released | Feb 13, 2026 | Feb 3, 2026 | Feb 14, 2026 |
| Knowledge cutoff | — | Sep 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
MiniMax-M2.5-highspeed$10.80
Qwen3 Coder Next$4.40
Seed 2.0 Code$9.50
Which should you choose?
Which is better: MiniMax-M2.5-highspeed, Qwen3 Coder Next or Seed 2.0 Code?
Seed 2.0 Code is the better all-round choice, scoring 57/100 against Qwen3 Coder Next (51) and MiniMax-M2.5-highspeed (41). It leads on inputs & features. Qwen3 Coder Next wins on price. 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, MiniMax-M2.5-highspeed, Qwen3 Coder Next or Seed 2.0 Code?
Qwen3 Coder Next is cheaper at $0.20 input / $1.20 output per million tokens (median across 11 API providers). Seed 2.0 Code costs $0.475 input / $2.37 output per million tokens (official Volcengine Ark API price); MiniMax-M2.5-highspeed costs $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.45 per million tokens for Qwen3 Coder Next versus $0.95 for Seed 2.0 Code (2.1× as much) and $1.05 for MiniMax-M2.5-highspeed (2.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. MiniMax-M2.5-highspeed has not been scored yet, Qwen3 Coder Next has not been scored yet and Seed 2.0 Code has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiniMax-M2.5-highspeed, Qwen3 Coder Next and Seed 2.0 Code 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?
Qwen3 Coder Next and Seed 2.0 Code have the largest context windows (262,144 and 262,144 tokens), against 204,800 for MiniMax-M2.5-highspeed. Maximum output per response: MiniMax-M2.5-highspeed up to 131,072, Qwen3 Coder Next up to 65,536, Seed 2.0 Code up to 131,072 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M2.5-highspeed accepts text; Qwen3 Coder Next accepts text; Seed 2.0 Code accepts text, images and video. Seed 2.0 Code handles the widest range of inputs.
Are any of these open source?
MiniMax-M2.5-highspeed and Qwen3 Coder Next publishes its weights and can be self-hosted; Seed 2.0 Code is proprietary.
Which is newer?
Seed 2.0 Code is the newest, released Feb 14, 2026. MiniMax-M2.5-highspeed came out Feb 13, 2026; Qwen3 Coder Next came out Feb 3, 2026. Knowledge cutoff: Qwen3 Coder Next Sep 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.