Claude Mythos 5.1 vs MiniCPM5-2B
Claude Mythos 5.1 comes out ahead, 66 to 31 on our weighted score.
- Our pick
AnthropicClaude Mythos 5.1
66/100- ECI—
- Price—
- Context1M
OpenBMB
MiniCPM5-2B
31/100- ECI—
- Price—
- Context131K
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Make it a three-way comparison.
Claude Mythos 5.1 is our pick
Claude Mythos 5.1 is the better all-round choice, scoring 66/100 against MiniCPM5-2B (31). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. 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
- Longest contextClaude Mythos 5.1Claude Mythos 5.1 1,000,000 · MiniCPM5-2B 131,072 tokens
- Widest inputsClaude Mythos 5.1Claude Mythos 5.1: Text, Images, PDFs · MiniCPM5-2B: Text
- Self-hostingMiniCPM5-2BPublishes downloadable weights (apache-2.0)
| Measure | Weight | Claude Mythos 5.1 | MiniCPM5-2B |
|---|---|---|---|
| Inputs & features | 60% | 70 | 35 |
| Context window | 40% | 60 | 25 |
| Overall | 100% | 66/100 | 31/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Claude Mythos 5.1Anthropic | MiniCPM5-2BOpenBMB |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | — |
| Output | — | — |
| Cached input | — | — |
| Blended (3:1) | — | — |
| Long-context rate | — | — |
| Price source | — | — |
| Limits | ||
| Context window | 1,000,000 tokens (best) | 131,072 tokens |
| Max output | 128,000 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Openapache-2.0 |
| API model ID | — | — |
| API providers | — | 1 |
| Released | Sep 1, 2026 | Sep 6, 2026 |
| Knowledge cutoff | Jun 2026 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Claude Mythos 5.1—
- MiniCPM5-2B—
Which should you choose?
Which is better: Claude Mythos 5.1 or MiniCPM5-2B?
Claude Mythos 5.1 is the better all-round choice, scoring 66/100 against MiniCPM5-2B (31). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Claude Mythos 5.1 or MiniCPM5-2B?
None of these models has a published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Claude Mythos 5.1 has not been scored yet and MiniCPM5-2B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Mythos 5.1 and MiniCPM5-2B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Claude Mythos 5.1 has the largest context window at 1,000,000 tokens, against 131,072 for MiniCPM5-2B. Maximum output per response: Claude Mythos 5.1 up to 128,000, MiniCPM5-2B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Claude Mythos 5.1 accepts text, images and PDFs; MiniCPM5-2B accepts text. Claude Mythos 5.1 handles the widest range of inputs.
Are any of these open source?
MiniCPM5-2B publishes its weights (apache-2.0) and can be self-hosted; Claude Mythos 5.1 is proprietary.
Which is newer?
MiniCPM5-2B is the newest, released Sep 6, 2026. Claude Mythos 5.1 came out Sep 1, 2026. Knowledge cutoff: Claude Mythos 5.1 Jun 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.
