claude-haiku-4-5-20251001| Provider | Input, $ per 1M | Output, $ per 1M | In our data since |
|---|---|---|---|
| qihang-ai | $0.14 | $0.71 | 31 Jul 2026 |
| Jiekou.AI | $0.9 | $4.5 | 31 Jul 2026 |
| daoxe | $1 | $5 | 31 Jul 2026 |
| freemodel | $1 | $5 | 31 Jul 2026 |
| 302.AI | $1 | $5 | 31 Jul 2026 |
| Abacus.AI | $1 | $5 | 31 Jul 2026 |
Amazon Bedrock
anthropic.claude-haiku-4-5-20251001-v1:0
|
$1 | $5 | 2 Aug 2026 |
| Anthropic | $1 | $5 | 31 Jul 2026 |
| Helicone | $1 | $5 | 31 Jul 2026 |
| LLM Gateway | $1 | $5 | 31 Jul 2026 |
| Merge Gateway | $1 | $5 | 31 Jul 2026 |
| NanoGPT | $1 | $5 | 31 Jul 2026 |
Amazon Bedrock
apac.anthropic.claude-haiku-4-5-20251001-v1:0
|
$1.1 | $5.5 | 2 Aug 2026 |
| unorouter | $1.2 | $6 | 31 Jul 2026 |
Amazon Bedrock
bedrock/us-gov-east-1/anthropic.claude-haiku-4-5-20251001-v1:0
|
$1.2 | $6 | 2 Aug 2026 |
Only the base tier and only per-token prices are shown. Batch, discounted and cached rates, as well as prices per image or per second of video, do not go into this table: they cannot stand in the same column as a price per million tokens.
A single provider appears several times if it sells this model under different identifiers and at different prices — for example, at different weight precision. The identifier is shown next to the name. Identical offers that arrived from two sources under different spellings are merged into one row.
The date in the last column is the day this price first entered our collection. The price may well be older: before that day we simply were not recording it. It has not changed since — otherwise a new row with a new date would stand in its place.
| Task set | Result | Run conditions | Measured by |
|---|---|---|---|
| Arena Score, programming | 1,450.74 1,446–1,455 | — | — |
| Arena Score, expert questions | 1,443.71 1,437–1,451 | — | — |
| Arena Score, long queries | 1,426.81 1,423–1,431 | — | — |
| Arena Score in Spanish | 1,419.11 1,406–1,432 | — | — |
| Arena Score, hard prompts | 1,417.91 1,415–1,421 | — | — |
| Arena Score in English | 1,413.97 1,410–1,418 | — | — |
| Arena Score, instruction following | 1,413.07 1,409–1,417 | — | — |
| Arena Score, multi-turn dialogue | 1,407.02 1,402–1,412 | — | — |
| Arena Score in French | 1,406.71 1,393–1,420 | — | — |
| Arena Score, overall | 1,393.72 1,391–1,396 | — | — |
| Arena Score, mathematics | 1,392.77 1,385–1,401 | — | — |
| Arena Score in Russian | 1,376.88 1,370–1,383 | — | — |
| Arena Score, creative writing | 1,371.16 1,366–1,377 | — | — |
| Arena Score, web development | 1,325.04 1,320–1,330 | — | — |
| MATH, difficulty level five | 96.36 % | thinking budget: 32K · with a tuned harness | Epoch evaluations |
| Mock AIME 2024–2025 — olympiad problems | 66.63 % | thinking budget: 32K · with a tuned harness | Epoch evaluations |
| GPQA Diamond — graduate-level questions | 61.62 % | thinking budget: 32K · with a tuned harness | Epoch evaluations |
| ARC-AGI — generalising to unseen patterns | 47.67 % | thinking budget: 32K · with a tuned harness | — |
| WeirdML — unusual machine learning tasks | 45.4 % | — | WeirdML Leaderboard |
| Terminal-Bench — working in the command line | 35.5 % | · with a tuned harness | Terminal-Bench v2 Leaderboard |
| BALROG — game environments | 31.2 % | — | Balrog Leaderboard |
| APEX-Agents | 8.9 % | — | — |
| SimpleQA Verified — factual accuracy | 5.9 % | thinking budget: 32K | Epoch evaluations |
| ARC-AGI-2 | 4.03 % | thinking budget: 32K | — |
| Chess puzzles | 3.2 % | thinking budget: 32K | Epoch evaluations |
| CritPt — physics problems | 0 % | — | — |