Concept demo
Dvar Eval Bench

615 outputs, checked the same way for every model

The same prompts, users and checks as the live screens, run on frontier and open models. The checks are rules, not a model grading a model: language and script, invented numbers, banned claims, channel length, real offers, the right tool and the key number. On messages, a draft that fails a check goes back to the model once with the failures, for every model; time and cost include both drafts.

Run 21 Oct 2026 · 5 models · synthetic users · demo date 21 October 2026
ModelPassed every checkFits the channelRight languageNo invented numbersApproved claims onlyUses the user's own numbersCost per 1,000 messagesMedian time
Claude Sonnet 5.5 Baseline
Frontier, public API
100%
100%100%100%100%100%₹4961.0 s
GPT-OSS 120B Live demo
Open model on Dvar
100%
100%100%100%100%100%₹639.8 s
GLM 5.3
Open model on Dvar
98%
98%100%100%100%100%₹1904.4 s
DeepSeek V4 Flash
Open model on Dvar
93%
98%95%100%100%100%₹5519.6 s
GLM 5.3 Flash
Open model on Dvar
93%
98%100%100%100%100%₹8022.8 s

Each cell is the share of 43 cases that passed that check (one run per case). “Passed every check” needs all of them, including valid output. Cost is the average per message × 1,000 at list prices, including Dvar models' reasoning tokens.

By language

Passed every check, per language

LanguageCasesClaude Sonnet 5.5GPT-OSS 120B on Dvar
हिन्दी Hindi8100%100%
English English6100%100%
বাংলা Bengali5100%100%
Hinglish Hinglish5100%100%
தமிழ் Tamil4100%100%
मराठी Marathi4100%100%
తెలుగు Telugu4100%100%
ગુજરાતી Gujarati4100%100%
ಕನ್ನಡ Kannada3100%100%
Test cases

Read the outputs behind the numbers

0 of 43 cases