Model index · Text · text generation · standard · open weights · Alibaba · released 2024-10-16

Qwen2.5 7B Instruct pricing

Served by 4 providers from $0.0550 to $0.3000 per 1M tokens on the standard tier — a 5.5× gap for identical weights.

Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...

Alibaba · 7.62B parameters · apache-2.0 · first published 2024-10-16 · Text model · text generation · 33k context · description as published by the source, not written by us

Open weights: Qwen/Qwen2.5-7B-Instruct · 7.62B parameters counted from the weight files · licence apache-2.0 · 11.2M downloads in the last 30 days . Parameter count and licence come from the public weights registry, not from a seller — and the download figure exists only for models published this way, so it is not a market-wide popularity measure.

$0.0550

Cheapest standard /1M — DeepInfra

33k

Native context window

4

Providers serving it

Quality not measured yet

Quality not measured yet

We measure models on request rather than pre-scoring the whole catalog, so this one has no score yet. Absence of a score is not a low score.

At 1M requests/month (1500 in / 500 out tokens), moving from Together to DeepInfra saves about $490/month.

Illustrative traffic shape, stated so you can check it against your own. Same weights both sides — but confirm quantisation and context below before switching.

Every provider and service tier

Standard on-demand rows first, cheapest of each group first. Tiers are not interchangeable — see the note below the table.

Provider In /1M Out /1M Blended /1M Tier Region Source
DeepInfra cheapest standard $0.0400 $0.1000 $0.0550 standard provider_api
Phala $0.1000 $0.2000 $0.1250 standard third_party
OpenRouter (default route) *
resells other hosts
$0.1000 $0.2000 $0.1250 standard provider_api
Together $0.3000 $0.3000 $0.3000 standard third_party

* OpenRouter chooses a host for each request, and the figure above is what its default choice costs — not a fixed rate for this model. Selecting a specific host through the same account costs whatever that host charges, which is why this row can sit above or below the hosts listed beside it. Token rates are passed through from the underlying provider with no markup, so the per-1M price above is what that host charges directly — OpenRouter's own charge sits on funding instead: 5.5% (min $0.80) by Stripe or 5% by Coinbase to buy credits, 5% of the equivalent spend if you bring your own provider key. So budget about 5% above the rate shown unless you already hold credit. Fee schedule.

Compare Qwen2.5 7B Instruct with alternatives

One model per vendor, ordered by how prominent the vendor is and how many independent providers serve the model — hosts only carry what customers ask for, so that is a real demand signal. This is not traffic or popularity data, which we do not have. Every alternative below does the same job — text generation — because a price comparison between a generator and, say, an upscaler is arithmetic rather than advice. Prices on both sides are standard on-demand rates, so the comparison is like for like — a discounted batch or flex rate is never shown against another model’s standard rate.

AlternativeVendor $/1M vs Qwen2.5 7B Instruct QualityKindContextHosts
Mistral Small 3 Mistral $0.0575
OpenRouter (default route)
5% dearer 20/100 standard
open weights
33k 3
Command R7B (12-2024) Cohere $0.0656
Cohere
19% dearer 0/100 standard 128k 1
WizardLM-2 8x22B Microsoft $0.4800
DeepInfra
773% dearer 100/100 standard 66k 3
Kimi K2 0905 MoonshotAI $1.00
OpenRouter (default route)
1723% dearer not measured standard 262k 2
Llama 3.1 8B Instruct Meta $0.0250
DeepInfra
55% cheaper not measured standard
open weights
131k 6
DeepSeek V3 0324 DeepSeek $0.4050
DeepInfra
636% dearer not measured standard 164k 4
Hermes 3 70B Instruct Nous $0.7000
DeepInfra
1173% dearer not measured standard
open weights
131k 4
Llama 3 8B Lunaris Sao10K $0.0425
OpenRouter (default route)
23% cheaper not measured standard 8k 3

Prices are the cheapest host for each model, blended at a 3:1 input:output ratio. "Quality" is our own probe suite where we have run it — see what it measures. A cheaper alternative is only a real saving if it also passes on the capability your workload needs.

2 of these alternatives cost less than Qwen2.5 7B Instruct — the cheapest being Llama 3.1 8B Instruct at $0.0250 per 1M tokens blended (55% cheaper).

Cheaper is not automatically better: check the quality column, and confirm the context window and capabilities your workload depends on before switching.

Before you switch

Identical weights do not guarantee identical output. Check that the cheaper host serves the model at full precision rather than a quantised copy, that its context window matches what you need, and that its rate limits carry your peak traffic. A cheaper host that cannot take your throughput is not cheaper — it is an outage.

Move to DeepInfra without a rewrite

VernaOne fronts every provider on this page with one API, so switching host is a config change — with automatic fallback if quality or latency regresses.

Try VernaOne free →

Frequently asked

How much does Qwen2.5 7B Instruct cost?

The cheapest standard-tier provider is DeepInfra at $0.0550 per 1M tokens blended (3:1 input:output). The dearest is Together at $0.3000 — a 5.5× difference for the same weights. Prices change often; verify with the provider before budgeting.

Which provider is best for Qwen2.5 7B Instruct?

Cheapest is not automatically best. Compare quantisation (a lossy copy of the weights changes output), the context window each host actually serves, and rate limits. Where a provider serves less context than the model's native window we flag it in the table above.

Can I switch providers for Qwen2.5 7B Instruct without changing code?

Yes, if you route through an abstraction. VernaOne exposes one API across every provider listed here, so switching host is a config change and you keep automatic fallback if the new one degrades.

← All models · Generated catalog of AI models and every provider that serves them, with normalised prices in USD per 1,000,000 tokens. Blended prices assume a 3:1 input:output ratio.