AI Models · Open-Source vs Paid

XIMiMo-V2.5-Pro Open vs Claude Fable 5 (batch) Paid

MiMo-V2.5-Pro vs Claude Fable 5 (batch) compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Choose MiMo-V2.5-Pro if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Claude Fable 5 (batch) if you want frontier capability through a managed API with zero infrastructure to run.

MiMo-V2.5-Pro vs Claude Fable 5 (batch) specs

SpecMiMo-V2.5-ProClaude Fable 5 (batch)
MakerXiaomiAnthropic
TypeOpen-weightProprietary
Context window1.1M tokens1M tokens
Input price$0.44/M · free self-host$5/M
Output price$0.87/M · free self-host$25/M
Vision / multimodalNoYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseOpen weightsProprietary

Feature comparison

CapabilityMiMo-V2.5-ProClaude Fable 5 (batch)
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: MiMo-V2.5-Pro vs Claude Fable 5 (batch)

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

MiMo-V2.5-Pro delivers 26× more intelligence per dollar.
MiMo-V2.5-Pro
Claude Fable 5 (batch)
Intelligence index
42.2
59.9
Coding index
60.2
76.5
GPQA
86.6%
92.6%
Humanity's Last Exam
33.8%
53.3%
Long Context Reasoning
73.3%
70%
SciCode
50.2%
60.2%
IFBench
79.9%
63.5%
τ²-Bench
94.2%
98.5%
τ-Bench Banking
8.7%
26.8%
Terminal-Bench
65.2%
84.6%
Terminal-Bench Hard
43.2%
62.9%
Speed
62.9 tok/s
59.4 tok/s
Latency
1.9s
61.86s
Intelligence per $
77.6
3

Benchmark data by Artificial Analysis.

How MiMo-V2.5-Pro and Claude Fable 5 (batch) score

🏆 Best value & openness: MiMo-V2.5-Pro (4.7 vs 3.1 / 5)
CriterionMiMo-V2.5-ProClaude Fable 5 (batch)
Cost-efficiency5.03.0
Context window5.05.0
Openness5.01.5
Self-hosting5.01.0
Multimodality3.55.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

MiMo-V2.5-Pro Open

Xiaomi · Open-weight

MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....

Claude Fable 5 (batch) Paid

Anthropic · Proprietary

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
MiMo-V2.5

Frequently asked questions

Is MiMo-V2.5-Pro as good as Claude Fable 5 (batch)?

MiMo-V2.5-Pro is open-weight and competitive on many tasks, but Claude Fable 5 (batch) may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run MiMo-V2.5-Pro locally?

Yes. MiMo-V2.5-Pro has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Claude Fable 5 (batch) is API-only and cannot be self-hosted.

How much cheaper is MiMo-V2.5-Pro?

MiMo-V2.5-Pro costs $0.87/M output vs $25/M for Claude Fable 5 (batch) — roughly 29x cheaper via API, and free if you self-host.

MiMo-V2.5-Pro vs Claude Fable 5 (batch) — which should I pick in 2026?

Choose MiMo-V2.5-Pro if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Claude Fable 5 (batch) if you want frontier capability through a managed API with zero infrastructure to run.

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