New Sign up free, 10 calls on us. Up to $1, no card needed.

Dola Seed 2.0 Lite vs Claude Fable 5.1

Claude Fable 5.1 is served by invitation. Its figures below are the live rates, but calls need a workspace grant first; ask us for access before you build on this comparison.

vs

Which one, when

Dola-Seed-2.0-lite is the cheaper, broader-input option: $0.25 input and $2 output per million tokens, 40x and 25x less than claude-fable-5-1's $10 and $50, and it accepts video and audio alongside text and image, with thinking that can be switched off and a slightly larger 131072-token output ceiling. Pick claude-fable-5-1 when you need its 1000000-token context (roughly four times Dola's 256000) plus always-on thinking and reasoning flags on text and image input, and can absorb the rate card. For high-volume multimodal ingest, Dola is the pragmatic default.

Benchmarks

Above averageNo peer higherDola Seed 2.0 Lite4 / 103 / 10Claude Fable 5.17 / 77 / 7
Dola Seed 2.0 Lite Claude Fable 5.1 other models measured peer average no peer scored higher
Terminal-bench 4.0
N/A
no peer scored higher 55.8%
WenetSpeech test-net (CER)
no peer scored higher 4.47%
N/A
OSWorld-Verified
64.4%
N/A
GDPval-AA v2 Elo · 1711-1853 per Anthropic · 2026-09-05
N/A
no peer scored higher 1853
GPQA Diamond
88.4%
N/A
BrowseComp
64%
N/A
MMVU
76.7%
N/A

Vendor-published: Alibaba (Qwen) Anthropic ByteDance DeepSeek Google MiniMax Moonshot OpenAI Tencent Z.ai

Pricing

Dola Seed 2.0 Lite Claude Fable 5.1 Δ
Input / 1M tokens $0.25 $10 0.025×
Output / 1M tokens $2 $50 0.04×
Cache read / 1M tokens $0.05 $0.25 0.2×
Cache write - 1.25x (5m) / 2x (1h) -

Rates from the live catalog at build time; each model page carries the current card.

Where they sit - input price per 1M tokens across all 67 chat models on this billing unit (log scale)

Capabilities

Dola Seed 2.0 Lite Claude Fable 5.1
Tool use yes yes
Thinking control configurable always on
Structured output yes yes
Prompt caching implicit + explicit explicit (you mark the prefix)
Cache lifetime not published 5m default, 1h option
Minimum cached prefix 1024 tokens 1024 tokens

Specs

Dola Seed 2.0 Lite Claude Fable 5.1
Input modalities text image audio video text image
Output modalities text text
Released 2026-02-14 2026-09-01
Knowledge cutoff - 2026-06
Context window 256K 1M
Max output 131K 128K
Thinking parameter
  • thinking.type
  • reasoning_effort
output_config.effort (thinking is adaptive-only and always on)
Accepted values
thinking.type
  • enabled
  • disabled (no auto)
reasoning_effort
  • minimal
  • low
  • medium
  • high
effort
  • low
  • medium
  • high
  • xhigh
  • max
Default enabled, with reasoning_effort medium

thinking always on (adaptive)

effort
  • high

Specs are transcribed from each vendor’s documentation; a row a vendor does not publish is left out rather than inferred. Full sources: Dola Seed 2.0 Lite · Claude Fable 5.1

Switch between them with one line

Both ids are in every tab below - the highlighted pair of lines is the only edit. Same endpoint, same key, same request shape.

from openai import OpenAI

client = OpenAI(
    base_url="https://synthorai.io/v1",
    api_key="sk-syn-...",
)

resp = client.chat.completions.create(
    model="Dola-Seed-2.0-lite",
    # model="claude-fable-5-1",  # uncomment this line, comment the one above
    messages=[{"role": "user", "content": "Summarize this diff"}],
)
print(resp.choices[0].message.content)

Get your API key →

FAQ

Which is cheaper, Dola Seed 2.0 Lite or Claude Fable 5.1?

Dola Seed 2.0 Lite is cheaper on input / 1m tokens ($0.25 vs $10, 40× apart). Other rows may point the other way - the table above carries the full card, and real cost depends on your mix.

Can I A/B test Dola Seed 2.0 Lite against Claude Fable 5.1 without two integrations?

Yes. Both are served through the same OpenAI-compatible endpoint with one API key - switching is a one-line model-string change, so you can route a fraction of traffic to each and compare bills directly.

Do Dola Seed 2.0 Lite and Claude Fable 5.1 support prompt caching?

Yes - both bill cached reads below their input rate, so warm-prefix workloads cost less than the list rates suggest. The exact cache-read rows are in the pricing table above.

Related comparisons

From our measured studies