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Blog · 2026-09-05 · Vynaris Team

GPT-6 Astra costs $180 per 1,000 8k/2k calls: the 60%-fewer-token break-even versus GPT-5.6 Sol

GPT-6 Astra launched at $10/$50 per MTok, 2.5x GPT-5.6 Sol. On 8k/2k calls, Astra costs $180 vs Sol's $72 per 1,000. Astra must use 60% fewer tokens to break even. DeepSWE shows it nearly does.

GPT-6 Astra launched at $10 input and $50 output per 1M tokens, 2.5x GPT-5.6 Sol's $4/$20. On a fixed 8,000-input / 2,000-output call, Astra costs $180 per 1,000 requests versus Sol's $72. Astra must use 60% fewer billable token-equivalents to break even. One public benchmark shows it nearly does.

Prices verified 2026-09-05 from OpenAI's developer pages. Astra is absent from the 2026-09-04 snapshot; rollout began 2026-09-03.

The price table

Tier          Astra (per 1M tok)  Sol (per 1M tok)  Multiple
------------  ------------------  ----------------  --------
Input         $10.00              $4.00             2.5x
Cached input  $1.00               $0.40             2.5x
Cache writes  $12.50              $5.00             2.5x
Output        $50.00              $20.00            2.5x

The 2.5x multiple holds across every tier. Batch and Flex are 50% of Standard for both models; Fast mode is 2x. Astra adds a long-context surcharge Sol does not have: requests above 272k input tokens re-rate the full request to 2x input/cache and 1.5x output, pushing the 8k/2k equivalent to $310 per 1,000 calls.

What 1,000 calls costs

Tier        Astra  Sol
----------  -----  ----
Standard    $180   $72
Batch/Flex  $90    $36
Fast        $360   $144

Math: 8,000 input tokens at $10/MTok = $0.08; 2,000 output at $50/MTok = $0.10; $0.18 per call, $180 per 1,000. Sol: $0.04 + $0.02 = $0.072 per call, $72 per 1,000. The calculator at vynaris.com reproduces these numbers for any token shape.

The break-even threshold

Astra's sticker is 2.5x Sol's. For Astra to match Sol's cost on the same workload, it must consume 40% of Sol's billable tokens, a 60% reduction. That is a high bar for most workloads, where output token counts are driven by task complexity, not model choice.

But on DeepSWE, Astra used half the output tokens and half the agent steps of Sol, and came within $0.04 per task.

DeepSWE v1.1: where the sticker nearly disappears

Datacurve's DeepSWE benchmark (113 tasks, 91 repos, 5 languages, updated 2026-09-03) reports task-level cost, output tokens, and agent steps. It is the first public denominator that exposes whether Astra's token efficiency offsets its price.

Model                    Pass@1  Avg cost  Cost per pass  Output tok  Steps
-----------------------  ------  --------  -------------  ----------  -----
GPT-6 Astra [xhigh]      74%±3%  $6.52     $8.81          30k         29
GPT-5.6 Sol [max]        73%±3%  $6.46     $8.85          60k         61
Gemini 3.8 Flash [high]  74%±1%  $2.36     $3.19          143k        166
Claude Opus 5 [max]      74%±4%  $11.84    $16.00         118k        99

Astra produced 30k output tokens across 29 steps. Sol produced 60k across 61 steps. Astra used 50% of Sol's output tokens and 48% of its steps, landing at $6.52 per task versus $6.46, a 0.9% difference. Dividing by pass rate, Astra costs $8.81 per successful pass versus Sol's $8.85, 0.4% cheaper.

The 2.5x sticker premium nearly vanished because Astra reasoned more efficiently, not because it was cheaper per token.

When this does not generalize

Three caveats matter.

First, the confidence intervals overlap. Astra's 74%±3% and Sol's 73%±3% are statistically indistinguishable on 113 tasks. This is one benchmark, not production parity.

Second, DeepSWE is a coding agent benchmark. Workloads where output length is fixed by the task, not the model, will not see Astra's token compression. A 2,000-token summary costs $0.18 on Astra and $0.072 on Sol regardless of model efficiency.

Third, Gemini 3.8 Flash scored the same 74% at $3.19 per pass, 63.8% below Astra. If 74% is your quality floor, Astra is not the cheapest model that clears it.

Who should re-route

Astra makes sense when your workload rewards token efficiency over token price: long-horizon agent tasks where fewer steps and shorter outputs compound into real savings. If your calls are fixed-length, Sol or a cheaper model wins on sticker alone. We covered the same cost-per-successful-task inversion with Gemini 3.7 Flash: same sticker, lower cost per pass.

The buyer threshold is concrete: measure your current token cost per task. If switching to Astra cuts billable tokens by 60% or more, it breaks even. If not, the 2.5x premium holds. Sol's own price cut to $72 per 1,000 balanced tasks set the baseline Astra must beat.

FAQ

Is Astra cheaper than Sol?

Per token, no, 2.5x more expensive. Per task on DeepSWE, effectively tied at $8.81 versus $8.85 per pass. The difference is token efficiency, not price.

What is the >272k input surcharge?

Requests above 272k input tokens are re-rated at 2x input/cache and 1.5x output for the full request. This pushes Astra's 8k/2k equivalent from $180 to $310 per 1,000 calls.

Does Astra support Batch and Flex?

Yes, both at 50% of Standard. Fast mode is 2x. EU data residency does not support Fast mode for Astra.

Should I switch from Sol to Astra?

Only if your workload shows Astra using 60% fewer tokens than Sol on the same tasks. Run an eval on your own data before switching. One public benchmark is not a routing decision.

Sources