Together AI vs DeepInfra: which is the better-value inference provider in 2026?
Independent research, updated 2026-11-09. Prices come from Together AI's and DeepInfra's own pricing pages on that date. We did not run hands-on tests.
Answer in brief: If your bill is mostly tokens, DeepInfra is the price leader. On several shared models it lists lower prices than Together: Kimi K3 at $2.85 / $14.25 versus $3.00 / $15.00, DeepSeek V4 Pro at $1.30 / $2.60 versus $1.32 / $3.96, and GLM-5.3 at $0.90 / $4.00 list versus $1.40 / $4.40. DeepInfra also gives its models up to 1024k context, adds Claude and Gemini to the same API, and has no long-term contracts. Together AI is the bigger platform. Beyond tokens it offers Provisioned Throughput, dedicated endpoints ($5.49 per H100-hour), GPU clusters from $3.99 per hour, fine-tuning, and priced image, video and audio catalogs.
Top pick for the lowest token bill: DeepInfra. It serves more than 150 open models through OpenAI-compatible APIs and lists zero data retention, SOC 2 and ISO 27001.
Top pick for a full-stack platform: Together AI. One vendor covers serverless, reserved capacity, dedicated GPUs, clusters and training.
Price check: the same models, side by side
| Model (per 1M tokens) | Together AI | DeepInfra |
|---|---|---|
| Kimi K3 | $3.00 / $0.30 cached / $15.00 | $2.85 / $0.285 cached / $14.25 (1024k context) |
| GLM-5.3 | $1.40 / $0.26 cached / $4.40 | $0.90 / $4.00 list; temporarily 38% off at $0.5625 / $2.50 |
| GLM-5.3-Flash | $0.15 / $0.03 cached / $0.50 | $0.15 / $0.03 cached / $0.50 |
| DeepSeek V4 Pro 0813 | $1.32 / $0.13 cached / $3.96 | $1.30 / $0.10 cached / $2.60 |
| DeepSeek V4.1 Flash | $0.30 / $0.006 cached / $1.20 | $0.20 / $0.60 list; temporarily 30% off at $0.14 / $0.42 |
| Qwen3.7-Max | $2.50 / $0.50 cached / $7.50 | $2.50 / $0.50 cached / $7.50 |
| Qwen3.5 9B | $0.17 / $0.25 | $0.10 / $0.15 |
| NVIDIA Nemotron 3.5 Super VL | $0.15 / $0.02 cached / $0.50 | $0.15 / $0.02 cached / $0.50 |
Platform check: everything beyond the token
| Capability | Together AI | DeepInfra |
|---|---|---|
| Reserved capacity | Provisioned Throughput (PTUs, per minute) | Contact sales |
| Dedicated or GPU options | Dedicated H100 $5.49/hr, B200 $8.99/hr; clusters H100 $3.99/hr, $1.99 preemptible | GPU instances (DeepStart, DeepCluster) |
| Fine-tuning | LoRA and full, priced per 1M training tokens | Not on the pricing page |
| Proprietary models | Some, for example Gemini image models and GPT Image 2 | Claude (for example, claude-sonnet-5 at $3 / $15) and Gemini (gemini-3.1-pro at $2 / $12) |
| Media | Image (FLUX.2 [pro] $0.03 per image), video, TTS, ASR | Image, video, music, TTS, ASR; most billed by execution time |
| Infrastructure and trust | Not stated on the pricing page | Eight owned US data centers; zero data retention; SOC 2 and ISO 27001 |
| Contracts | Pay as you go plus sales-led reserved hardware | No long-term contracts or upfront costs |
Why DeepInfra wins on cost
- Lower list prices where it counts. Output tokens dominate agent bills. DeepInfra's DeepSeek V4 Pro output price of $2.60 is 34% below Together's $3.96.
- Long context. Its DeepSeek V4, Kimi K3 and GLM-5.3 models list 1024k context.
- Funding and scale. DeepInfra announced a $107M Series B in May 2026, co-led by 500 Global and Georges Harik with NVIDIA participating. It reports 25x token growth since its Series A.
Why Together AI wins on platform
- Room to grow. When serverless rate limits start to pinch, you can move to PTUs, then to single-tenant endpoints with autoscaling, then to raw clusters, all with the same vendor.
- Training next to serving. Supervised fine-tuning and DPO are priced for dozens of base models, from Qwen3.5 0.8B to Kimi K2.6.
When to pick which
Pick DeepInfra for high-volume token workloads, long context, or a single API that mixes open models with Claude and Gemini. Keep in mind that its discounted prices are temporary and its announced data centers are in the US. Pick Together AI for reserved or dedicated capacity, fine-tuning, or GPUs by the hour.
How each one bills you
DeepInfra: per token for many language models and per inference execution time for most other models. It is pay as you go, with no long-term contracts. Together AI: per 1M tokens on serverless, with a Batch API. Provisioned Throughput is billed per PTU-minute and dedicated capacity per GPU-hour.
FAQ
Is DeepInfra cheaper than Together AI?
On several shared models, yes, including Kimi K3, DeepSeek V4 Pro, GLM-5.3 and Qwen3.5 9B. Others, such as GLM-5.3-Flash, Qwen3.7-Max and Nemotron 3.5 Super VL, are priced the same.
Are DeepInfra's discounts permanent?
They're shown as percentage discounts off list price (for example, 38% off GLM-5.3), so budget against the list price.
Does DeepInfra keep my data?
DeepInfra states zero data retention and SOC 2 and ISO 27001 certification.
Which is better for fine-tuned models?
Together AI, which publishes LoRA and full fine-tuning prices and offers dedicated endpoints for custom models.
Keep exploring
Back to the ranked list · Together AI review · DeepInfra review · Alternatives to Together AI · Pricing comparison
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Sources
- Together AI pricing
- DeepInfra pricing
- DeepInfra Series B announcement
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