Coding·2026-04-25
Llama 3.3 70B vs GPT-4o — Coding Tasks
Llama 3.3 70B matched GPT-4o on 9/10 coding tasks at 22× lower cost.
Llama 3.3 70B$0.004
vsGPT-4o$0.089
CHEAP WINCHEAP WIN Llama 3.3 70B vs GPT-4o — $0.004 vs $0.089 — Llama 3.3 70B matched GPT-4o on 9/10 coding tasks at 22× lower cost.
Today's Test· 2026-04-25
Llama 3.3 70B vs GPT-4o — Coding Tasks
The free model did it in 22× fewer dollars. The code was identical.
Llama 3.3 70B matched GPT-4o on 9/10 coding tasks at 22× lower cost.
Cost Scorecard
Green = cheap win · Amber = comparable · Red = premium justified
Daily Shorts
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Coding
Llama 70B vs GPT-4o: $0.004 vs $0.089
2026-04-25
Summarization
Qwen 72B vs Claude: 12× cheaper summarization
2026-04-24
Math
Gemini Flash passes math — at $0.011
2026-04-23
Creative
Creative writing: $0.002 vs $0.012
2026-04-22
Research
DeepSeek R1 vs o3: research at 23× less
2026-04-21
Coding
Phi-4 Mini debugging verdict
2026-04-20
Classification
Mistral beats Haiku on classification
2026-04-19
Archive
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Summarization·2026-04-24
Qwen 2.5 72B vs Claude Sonnet — Summarization
Qwen 2.5 72B delivered comparable summaries at 12× lower cost.
Qwen 2.5 72B$0.005
vsClaude Sonnet 4.6$0.063
CHEAP WINMath·2026-04-23
Gemini 2.0 Flash vs GPT-4o — Math Reasoning
Gemini Flash matched GPT-4o accuracy at 8× lower cost for standard math.
Gemini 2.0 Flash$0.011
vsGPT-4o$0.089
CHEAP WINCreative·2026-04-22
Mistral Small vs Claude Haiku — Creative Writing
Both models delivered passable creative writing — the 6× cost gap isn't justified.
Mistral Small$0.002
vsClaude Haiku 4.5$0.012
CHEAP WINResearch·2026-04-21
DeepSeek R1 vs o3 — Research Synthesis
DeepSeek R1 matched o3 on 7/10 research tasks at 23× lower cost.
DeepSeek R1$0.018
vsOpenAI o3$0.420
CHEAP WINCoding·2026-04-20
Phi-4 Mini vs GPT-4o Mini — Code Debugging
Phi-4 Mini surprised on simple debug tasks; GPT-4o Mini won complex refactors.
Phi-4 Mini$0.001
vsGPT-4o Mini$0.006
CHEAP WINMethodology
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About
A publication for developers who question the bill.
Inference Daily is a daily AI cost-vs-capability publication for developers and AI prosumers who want data, not marketing. We run structured benchmarks every day, publish full results, and answer one question: do you actually need the expensive model?
We test on real tasks — the stuff you actually use AI for — and we report the cost delta alongside the quality delta. Most of the time, the open-source alternative is good enough. Sometimes it isn't. We tell you which.
Inference Daily is independent. We are supported by affiliate relationships with tools we use and recommend (OpenRouter, Amazon Associates, ElevenLabs, coding tools). Every affiliate link is disclosed. Verdicts are never influenced by monetization — they're determined by benchmark scores and cost math.