MiniMax-M2.5-highspeed vs Sarvam 30B vs Seed 2.0 Code
Sarvam 30B comes out ahead, 65 to 57 and 41 on our weighted score, and it is the cheaper option too.
MiniMaxMiniMax-M2.5-highspeed
41/100- ECI—
- Price$0.60 / $2.40
- Context205K
- Our pick
Sarvam AI
Sarvam 30B
65/100- ECI—
- Price$0.02 / $0.10
- Context128K
ByteDance SeedSeed 2.0 Code
57/100- ECI—
- Price$0.475 / $2.37
- Context262K
Sarvam 30B is our pick
Sarvam 30B is the better all-round choice, scoring 65/100 against Seed 2.0 Code (57) and MiniMax-M2.5-highspeed (41). It leads on price. Seed 2.0 Code wins on inputs & features and context window. 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 priceSarvam 30BSarvam 30B $0.04 · Seed 2.0 Code $0.95 · MiniMax-M2.5-highspeed $1.05 per 1M tokens (3:1 blend)
- Longest contextSeed 2.0 CodeSeed 2.0 Code 262,144 · MiniMax-M2.5-highspeed 204,800 · Sarvam 30B 128,000 tokens
- Widest inputsSeed 2.0 CodeMiniMax-M2.5-highspeed: Text · Sarvam 30B: Text · Seed 2.0 Code: Text, Images, Video
- Self-hostingMiniMax-M2.5-highspeed and Sarvam 30BPublishes downloadable weights
| Measure | Weight | MiniMax-M2.5-highspeed | Sarvam 30B | Seed 2.0 Code |
|---|---|---|---|---|
| Price | 50% | 49 | 100 | 51 |
| Inputs & features | 30% | 35 | 35 | 80 |
| Context window | 20% | 32 | 24 | 37 |
| Overall | 100% | 41/100 | 65/100 | 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 | MiniMax-M2.5-highspeedMiniMax | Sarvam 30BSarvam AI | Seed 2.0 CodeByteDance Seed |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.60 | $0.02 (best) | $0.475 |
| Output | $2.40 | $0.10 (best) | $2.37 |
| Cached input | $0.06 (best) | — | $0.095 |
| Blended (3:1) | $1.05 | $0.04 (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 1 providers | Official Volcengine Ark API |
| Limits | |||
| Context window | 204,800 tokens | 128,000 tokens | 262,144 tokens (best) |
| Max output | 131,072 tokens (best) | 128,000 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 | Yes · low · medium · high | Yesminimal · low · medium · high · xhigh · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | MiniMax-M2.5-highspeed | sarvam-30b | doubao-seed-2-0-code-preview-260215 |
| API providers | 7 | 2 | 10 (best) |
| Released | Feb 13, 2026 | Feb 18, 2026 | Feb 14, 2026 |
| Knowledge cutoff | — | — | — |
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
- Sarvam 30B$0.40
- Seed 2.0 Code$9.50
Which should you choose?
Which is better: MiniMax-M2.5-highspeed, Sarvam 30B or Seed 2.0 Code?
Sarvam 30B is the better all-round choice, scoring 65/100 against Seed 2.0 Code (57) and MiniMax-M2.5-highspeed (41). It leads on price. Seed 2.0 Code wins on inputs & features and context window. 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, Sarvam 30B or Seed 2.0 Code?
Sarvam 30B is cheaper at $0.02 input / $0.10 output per million tokens (median across 1 API provider). 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 $0.04 per million tokens for Sarvam 30B versus $0.95 for Seed 2.0 Code (24× as much) and $1.05 for MiniMax-M2.5-highspeed (26× 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, Sarvam 30B 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, Sarvam 30B 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?
Seed 2.0 Code has the largest context window at 262,144 tokens, against 204,800 for MiniMax-M2.5-highspeed and 128,000 for Sarvam 30B. Maximum output per response: MiniMax-M2.5-highspeed up to 131,072, Sarvam 30B up to 128,000, Seed 2.0 Code up to 131,072 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M2.5-highspeed accepts text; Sarvam 30B 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 Sarvam 30B publishes its weights and can be self-hosted; Seed 2.0 Code is proprietary.
Which is newer?
Sarvam 30B is the newest, released Feb 18, 2026. Seed 2.0 Code came out Feb 14, 2026; MiniMax-M2.5-highspeed came out Feb 13, 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 Oct 4, 2026.
