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#381

Tev1 4B Experimental

Togethercomputer Release: 2026-09-30 Tested on: 2026-10-01 17:55 togethercomputer/tev1-4b-experimental::none
4BDenseWeights availableEstimated

Summary

Tev1 4B Experimental scores 1.0 on AI BENCHY and ranks #381. It has 10.0 reliability, a 13.0% pass rate, $0.002 total cost, and 498ms average response time.

What makes Tev1 4B Experimental unique: Its total benchmark cost is unusually low for its score range. It is notably fast compared with similar models.

Model facts

Researched on 2026-10-01

Estimated
Parameters
4B
Architecture
Dense
Availability
Weights available
License
Pending; see model card

Best estimate from public evidence; the vendor did not disclose every value. Vendor-designated 4B Qwen3.5-4B supervised fine-tune with the standard next-token head. Runnable training/inference code is MIT; the exact fine-tuned weight release license is still being finalized. Uses one option letter with thinking disabled, not Jev architecture. The 4B designation is rounded, not an exact combined parameter count.

Score

1.0

Consistency

3.0

Total Output Tokens

96

Total Input Tokens

33,864

Input Price

$0.042 / 1M

Output Price

$0.000 / 1M

Cache Read Price

N/A

Cache Write Price

N/A

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Tests Correct

Wrong Tests: 4

Attempt pass rate: 13.0%

Benchmark coverage: 21/69 attempts. Choices supplied by adapters. Supports 7/23 tests. Other tests are unsupported, not failed. Score uses the full suite.

Flaky tests

0

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

498ms

Response Time (max): 602ms

Response Time (total): 3.49s

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Agentic 0.0 0.0
Anti-AI Tricks 2.5 2.5
Coding 0.0 0.0
Combined 0.0 0.0
Data parsing and extraction 3.0 10.0
Domain specific 6.7 6.7
General Intelligence 0.0 0.0
Instructions following 1.5 5.0
Puzzle Solving 1.7 3.3
Tool Calling 0.0 0.0
Trivia 0.0 0.0

Compared models