InfraRabbit Nederlands

modelsdev EVA-Qwen2.5-32B-v0.2 (nano-gpt/eva-unit-01/eva-qwen2.5-32b-v0.2)

modelsdev EVA-Qwen2.5-32B-v0.2 costs USD 0.799 per 1M input tokens and USD 0.799 per 1M output tokens (community cross-check, https://models.dev/), verified 2026-10-24 23:49 UTC.

Last verified 2026-10-24T23:49:22+00:00 · Source: https://models.dev/ (community cross-check, waak source modelsdev)
No first-party source is read for this model yet; this value is a community cross-check and can lag the provider.

Price

Input
USD 0.799 / 1M tokens
Output
USD 0.799 / 1M tokens
Cached input
USD 0.3995 / 1M
This price since
2026-10-19T22:42:32+00:00
FX used
1 EUR = 1.1225 USD (ECB)
Billing
per_token

Specification

Context window (tokens)
16,384
Max output
8,192
Open weights
yes
Reasoning
no
Source kind
community
Vendor
nano-gpt
Region
global
Listing
listing not verifiable
aggregator / community mirror: no first-party public page to check against
First seen
2026-10-19T22:42:32+00:00
SKU id
llm/modelsdev/nano-gpt/eva-unit-01/eva-qwen2.5-32b-v0.2

Price history (90 days)

1 line, 2026-10-19 to 2026-10-19; values between 0.799 and 0.799 USD; latest 0.799 USD.0.71910.75910.7990.8390.8789Oct 19Oct 21Oct 22Oct 23Oct 252026-10-19 UTC: 0.799 USD
Observed (UTC)PriceUSDEUROutput / 1MSnapshot
2026-10-19T22:42:32+00:00USD 0.7990.7990.71180.799#34

Each row is a change point: the price held from that moment until the next row. Full history: JSON · CSV.

Changes

No changes recorded since first seen.

API: /v1/skus/llm/modelsdev/nano-gpt/eva-unit-01/eva-qwen2.5-32b-v0.2

Cite this

Free to reuse under CC BY 4.0 with this credit. The numbers are list prices, not transacted prices.

InfraRabbit (2026). modelsdev EVA-Qwen2.5-32B-v0.2 [data as of 2026-10-24]. https://infrarabbit.com/llm/modelsdev/nano-gpt/eva-unit-01/eva-qwen2.5-32b-v0.2 (accessed 2026-10-25). List prices, not transacted prices. CC BY 4.0.
BibTeX
@misc{infrarabbit_llm_modelsdev_nano_gpt_eva_unit_01_eva_qwen2_5_32b_v0_2_2026,
  author       = {{InfraRabbit}},
  title        = {modelsdev EVA-Qwen2.5-32B-v0.2},
  year         = {2026},
  howpublished = {\url{https://infrarabbit.com/llm/modelsdev/nano-gpt/eva-unit-01/eva-qwen2.5-32b-v0.2}},
  note         = {Data as of 2026-10-24; accessed 2026-10-25; list prices, not transacted prices; CC BY 4.0}
}